8340 Hadoop Jobs - Page 20

Job Responsibilities Conduct classroom training / virtual training Develop teaching materials including exercises & assignments Design assessments for various proficiency levels in each competency Enhance course material & course delivery based on feedback to improve training effectiveness Gather feedback from stakeholders, identify actions based on feedback and implement changes Program Management and Governance Location: Mysore, Bangalore Description of the Profile We are looking for trainers with 2 to15 years of teaching or IT experience and technology know-how in one or more of the following areas: Java – Java programming, Spring, Spring Boot, Angular / React, Bootstrap Open source – Python, PHP, Unix / Linux, MySQL, Apache, HTML5, CSS3, JavaScript Data Science – Python for data science, Machine learning, Exploratory data analysis, Statistics & Probability Big Data – Python programming, Hadoop, Spark, Scala, Mongo DB, NoSQL Microsoft – C# programming, SQL Server, ADO.NET, ASP.NET, MVC design pattern, Azure, SharePoint etc. MEAN / MERN stacks SAP – SAP ABAP programming / SAP MM / SAP SD /SAP BI / SAP S4 HANA Oracle – Oracle E-Business Suite (EBS) / PeopleSoft / Siebel CRM / Oracle Cloud / OBIEE / Fusion Middleware Cloud & Infrastructure Management – Network administration / Database administration / Windows administration / Linux administration / Middleware administration / End User Computing / ServiceNow, Cloud platforms like AWS / GCP/ Azure / Oracle Cloud, Virtualization DBMS – Oracle / SQL Server / MySQL / DB2 / NoSQL Testing – Selenium, Microfocus - UFT, Microfocus-ALM tools, SOA testing, SOAPUI, Rest assured, Appium API and integration – API, Microservices, TIBCO, APIGee, Mule Digital Commerce – SalesForce, Adobe Experience Manager Digital Process Automation - PEGA, Appian, Camunda, Unqork, UIPath Training-related experience Must have Teaching experience : conducting training sessions in classroom and dynamically responding to different capabilities of learners; experience in analyzing the feedback from sessions and identifying action areas for self-improvement Developing teaching material : Experience in gathering training needs, identifying learning objectives and designing training curriculum; experience in developing teaching material, including exercises and assignments Good presentation skills, excellent oral / written communication skills Nice to have Teaching experience : Experience in delivering session over virtual classrooms Program managing training : Practical experience in addressing organizational training needs by leading a team of educators; set goals, monitor progress, evaluate performance, and communicate to stakeholders Instructional Design: Developing engaging content Designing Assessments: Experience in designing assessments to evaluate the effectiveness of training and gauging the proficiency of the learner Participated in activities of the software development lifecycle like development, testing, configuration management and roll-out Educational Qualification & Experience Must have Bachelor’s / Master’s degree in Engineering or Master’s degree in Science / Computer Applications with consistently good academic record 2 to 15 years of relevant experience in training Nice to have Technology certification from any major certifying authorities like Microsoft, Oracle, Google, Amazon, Scrum, etc. Certification in teaching or eLearning content development

Job Responsibilities Conduct classroom training / virtual training Develop teaching materials including exercises & assignments Design assessments for various proficiency levels in each competency Enhance course material & course delivery based on feedback to improve training effectiveness Gather feedback from stakeholders, identify actions based on feedback and implement changes Program Management and Governance Location: Mysore, Bangalore Description of the Profile We are looking for trainers with 2 to15 years of teaching or IT experience and technology know-how in one or more of the following areas: Java – Java programming, Spring, Spring Boot, Angular / React, Bootstrap Open source – Python, PHP, Unix / Linux, MySQL, Apache, HTML5, CSS3, JavaScript Data Science – Python for data science, Machine learning, Exploratory data analysis, Statistics & Probability Big Data – Python programming, Hadoop, Spark, Scala, Mongo DB, NoSQL Microsoft – C# programming, SQL Server, ADO.NET, ASP.NET, MVC design pattern, Azure, SharePoint etc. MEAN / MERN stacks SAP – SAP ABAP programming / SAP MM / SAP SD /SAP BI / SAP S4 HANA Oracle – Oracle E-Business Suite (EBS) / PeopleSoft / Siebel CRM / Oracle Cloud / OBIEE / Fusion Middleware Cloud & Infrastructure Management – Network administration / Database administration / Windows administration / Linux administration / Middleware administration / End User Computing / ServiceNow, Cloud platforms like AWS / GCP/ Azure / Oracle Cloud, Virtualization DBMS – Oracle / SQL Server / MySQL / DB2 / NoSQL Testing – Selenium, Microfocus - UFT, Microfocus-ALM tools, SOA testing, SOAPUI, Rest assured, Appium API and integration – API, Microservices, TIBCO, APIGee, Mule Digital Commerce – SalesForce, Adobe Experience Manager Digital Process Automation - PEGA, Appian, Camunda, Unqork, UIPath Training-related experience Must have Teaching experience : conducting training sessions in classroom and dynamically responding to different capabilities of learners; experience in analyzing the feedback from sessions and identifying action areas for self-improvement Developing teaching material : Experience in gathering training needs, identifying learning objectives and designing training curriculum; experience in developing teaching material, including exercises and assignments Good presentation skills, excellent oral / written communication skills Nice to have Teaching experience : Experience in delivering session over virtual classrooms Program managing training : Practical experience in addressing organizational training needs by leading a team of educators; set goals, monitor progress, evaluate performance, and communicate to stakeholders Instructional Design: Developing engaging content Designing Assessments: Experience in designing assessments to evaluate the effectiveness of training and gauging the proficiency of the learner Participated in activities of the software development lifecycle like development, testing, configuration management and roll-out Educational Qualification & Experience Must have Bachelor’s / Master’s degree in Engineering or Master’s degree in Science / Computer Applications with consistently good academic record 2 to 15 years of relevant experience in training Nice to have Technology certification from any major certifying authorities like Microsoft, Oracle, Google, Amazon, Scrum, etc. Certification in teaching or eLearning content development

Job Purpose and Impact The R&D Senior Data Scientist will work collaboratively in multidisciplinary teams to develop complex proof of concepts, minimum viable products and fully deployable solutions. In this role, you will create complex predictive and optimization models that help deliver significant value to the company's businesses and functions. Key Accountabilities Continuously seek out best practices and develop skills. Work on multidisciplinary teams of data engineers, software engineers, data scientists and business subject matter experts to deliver complex projects on time and within budgets. Translate ambiguous and complex business problems into project charters clearly identifying technical risks and project scope. Take ownership for the entire data science workflow that includes a well defined, complex project scope, exploratory data analysis, model development, deployment and monitoring. Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff. Other duties as assigned Qualifications Minimum Qualifications Bachelor's degree in data science, computer science, math, engineering or related field or equivalent experience, Confirmed ability to present to non technical audiences Strong python programming skills Experience in a minimum of two machine learning algorithms approaches: unsupervised, supervised and reinforcement learning Preferred Qualifications Master's degree or PhD in data science, computer science, math, engineering or related field Strong data visualization skills Strong SQL skills Experience working with continuous integration and delivery (CI/CD) pipelines Experience working with Hadoop and other distributed computing frameworks Experience working with AWS Experience in software development environment and code management or versioning Experience in agriculture

S&C GN - Tech Strategy & Advisory - Cloud Architecture - Senior Manager Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Approximately 10,000 consultants are part of this rapidly expanding network, providing specialized and strategic industry and functional consulting expertise from key locations around the world. Our Global Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world.For more information visit . Practice Overview: Skill/Operating Group Technology Consulting Level Senior Manager Location Gurgaon/Mumbai/Bangalore/Pune/Kolkata Travel Percentage Expected Travel could be anywhere between 0-100% Principal Duties And Responsibilities: Working closely with our clients, Consulting professionals design, build and implement strategies that can help enhance business performance. They develop specialized expertisestrategic, industry, functional, technicalin a diverse project environment that offers multiple opportunities for career growth.The opportunities to make a difference within exciting client initiatives are limitless in this ever-changing business landscape.Here are just a few of your day-to-day responsibilities. Providing thought leadership in Cloud Architecture and Data Modernization, with a strong focus on industry-specific trends and best practices. To lead large scale Cloud Assessment, Migration and Application Modernization Projects Design an Application Modernization Strategy for Enterprises to meet Business Goals Build strategy and roadmap for Migration to Cloud Design the Application Modernization Architecture on cloud solutions such as AWS, Azure, GCP, Ali Cloud Deep understanding of Microservices and EDA To lead Large Scale Big Data Modernization Strategy and Architecture Engagements. Design Holistic Data Strategy to help enterprises to meet their Business goals. Architect large scale data lake, DW, and Delta Lake on cloud solutions using AWS, Azure, GCP, Ali Cloud, Snowflake, Hadoop, or Cloudera Design Data Mesh Strategy and Architecture Build strategy and roadmap for data migration to cloud Establish Data Governance Strategy & Operating Model Implementing programs/interventions that prepare the organization for implementation of new business processes Provide thought leadership to the downstream teams for developing offerings and assets Identifying, assessing, and solvingcomplex business problemsfor area of responsibility, where analysis of situations or data requires an in-depth evaluation of variable factors Overseeing the production and implementation of solutions covering multiple cloud technologies, associated Infrastructure / application architecture, development, and operating models Driving enterprise business, application, and integration architecture Helping solves key business problems and challenges by enabling a cloud-based architecture transformation, painting a picture of, and charting a journey from the current state to a to-be enterprise environment Assisting our clients to build the required capabilities for growth and innovation to sustain high performance Managing multi-disciplinary teams to shape, sell, communicate, and implement programs Experience in participating in client presentations & orals for proposal defense etc. Experience in effectively communicating the target state, architecture & topology on cloud to clients. Qualifications: Bachelors degree MBA Degree from Tier-1 College (Preferable) 15-20 years of large-scale consulting experience and/or working with hi tech companies leading Projects on Cloud Strategy, Assessment, Cloud architecture, App Modernization, Containers, information security and information management. Experience in data architecture, data governance, data mesh, data security and management. Bachelors degree MBA Degree from Tier-1 College (Preferable) 15-20 years of large-scale consulting experience and/or working with hi tech companies leading Projects on Cloud Strategy, Assessment, Cloud architecture, App Modernization, Containers, information security and information management. Experience in data architecture, data governance, data mesh, data security and management. Certified on DAMA (Data Management) or Azure Data Architecture or Google Cloud Data Analytics or AWS Data Analytics Architect Certification on Azure/AWS/GCP Experience: We are seeking experienced professionals who have led large-scale engagements in application modernization, cloud architecture, and cloud strategy. The ideal candidates will have technical expertise in cloud strategy, assessments, cloud architecture, application modernization, and containers, across all stages of the innovation lifecycle, with a focus on shaping the future in real-time. The candidate should have practical industry expertise in one of these areas - Financial Services, Retail, consumer goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources. Key Competencies and Skills: The right candidate should have competency and skills aligned to one or more of these archetypes Application Assessment & Migration - Experience leading and Large scale assessment and cloud migration projects Application Modernization Experience leading and designing the composable architecture leveraging Microservices, EDA on the Cloud Platforms. Cloud Architecture :Experience with private, public and hybrid cloud architectures, pros/cons, and Hybrid cloud integration architecture Cloud-native application development, DevOps and data integration within cloud platform Cloud Migration :Delivering cloud migration roadmaps and managing execution from a project management perspective. Cloud Deployment across various hyper-scaler platforms (AWS, Azure, GCP) and models (PaaS, SaaS, IaaS), containers and virtualization platforms (VMWare.) Data SME - Experience in deal shaping & strong presentation skills, leading proposal experience, customer orals; technical understanding of data platforms, data on cloud strategy, data strategy, data operating model, change management of data transformation programs, data modeling skills. Data on Cloud Architect - Technical understanding of data platform strategy for data on cloud migrations, big data technologies, experience in architecting large scale data lake and DW on cloud solutions. Experience one or more technologies in this space : AWS, Azure, GCP, AliCloud, Snowflake, Hadoop, Cloudera Data Strategy - Data Capability Maturity Assessment, Data & Analytics / AI Strategy, Data Operating Model & Governance, Data Hub Enablement, Data on Cloud Strategy, Data Architecture Strategy Data Transformation Lead - Understanding of data supply chain and data platforms on cloud, experience in conducting alignment workshops, building value realization framework for data transformations, program management experience Exceptional interpersonal and presentation skills - ability to convey technology and business value propositions to senior stakeholders Capacity to develop high impact thought leadership that articulates a forward-thinking view of the market Other desired skills - Strong desire to work in technology-driven business transformation Strong knowledge of technology trends across IT and digital and how they can be applied to companies to address real world problems and opportunities. Comfort conveying both high-level and detailed information, adjusting the way ideas are presented to better address varying social styles and audiences. Leading proof of concept and/or pilot implementations and defining the plan to scale implementations across multiple technology domains Flexibility to accommodate client travel requirements Published Thought leadership Whitepapers, POVs

Job Purpose and Impact The Senior Application Developer provides end-to-end support for Clarizen application including configuration, reporting, health monitoring and improvements. With minimal supervision, this job performs complex software application testing, quality assurance, configuration, installation and support to ensure smooth, stable and timely implementation of new software and updates to installed applications. Seasoned professional individual contributor with a continuous improvement mindset. Works independently with limited supervision. Manages large projects or processes. Coaches and reviews the work of other professionals. Problems faced are difficult (i.e. requires significant effort) and often complex (i.e. involves multiple layers and components to solve). Influences others regarding policies, practices and procedures. Key Accountabilities APPLICATION CONFIGURATION MANAGEMENTBuilds complex application configurations to meet user and business requirements while identifying improvements to complex application support processes and procedures. APPLICATION DEVELOPMENT & DEPLOYMENTPerforms programming, configuration, testing and deployment of fixes or updates for application version releases. USER COMMUNICATION & SUPPORTPlays a key role and keeps an open channel of communication with users to respond to complex application support requests and needs. APPLICATION SUPPORTConducts complex technical application support activities to deliver on business outcomes. STAKEHOLDER MANAGEMENTPartners with multi-functional teams, including developers, product managers and business partners to ensure configurations align with standards and project goals. INCIDENT & REQUEST MANAGEMENTLeads prioritization of incoming incident tickets and user requests. VENDOR MANAGEMENTHandles positive relationships with software vendors and negotiates complex contracts. Qualifications Bachelors degree in a related field 5 years or more of relevant experience. Extensive experience in configuration and development around Clarizen such as (but not limited to) user profile management, monitoring workflows and business rules, report creation, picklist fields creation and modification, user timesheets, monitoring health and compliance of the tool, data extraction etc. Good knowledge of SQL, Data extraction from Hadoop, SharePoint Automation (Power Automate), and complex Excel formulas. Develops resiliency to positively navigate change, work within uncertainty, and support others through the process. Understands the importance of information security, embracing and integrating new technologies to contribute to team performance as well as working on how to use data to aid in decision making. Looks to increase financial and business understanding to draw accurate insights and use information as a strategic tool. Seeks out feedback, coaching and assignments that lead to personal growth, aligns career goals with business, and holds self-accountable. Develops skills to be a strong partner by understanding the business and the customer, how to anticipate needs and identify benefits and risks of solutions. Identifies value of future scenarios, resource allocation, how to anticipate potential obstacles and contributes to the end-to-end execution.

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Machine Learning Engineer (T25), Product Knowledge Do you love Big Data? Deploying Machine Learning models? Challenging optimization problems? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce! Who Are We? The Product Knowledge team is at the epicenter of eBay’s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay’s Product Knowledge - a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow! What Will You Do We Are Looking For Exceptional Engineers, Who Take Pride In Creating Simple Solutions To Apparently-complex Problems. Our Engineering Tasks Typically Involve At Least One Of The Following Building a pipeline that processes up to billions of items, frequently employing ML models on these datasets Creating services that provide Search or other Information Retrieval capabilities at low latency on datasets of hundreds of millions of items Crafting sound API design and driving integration between our Data layers and Customer-facing applications and components Designing and running A/B tests in Production experiences in order to vet and measure the impact of any new or improved functionality If you love a good challenge, and are good at handling complexity - we’d love to hear from you! eBay is an amazing company to work for. Being on the team, you can expect to benefit from: A competitive salary - including stock grants and a yearly bonus A healthy work culture that promotes business impact and at the same time highly values your personal well-being Being part of a force for good in this world - eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent Job Responsibilities Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure Optimize software performance to achieve the required throughput and / or latency Work with your manager, peers, and Product Managers to scope projects and features Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution Take active part in knowledge sharing across the organization - both teaching and learning from others Minimum Qualifications Passion and commitment for technical excellence B.Sc. or M.Sc. in Computer Science or an equivalent professional experience 2+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines A solid foundation in Data Structures, Algorithms, Object-Oriented Programming, Software Design, and core Statistics knowledge Experience in production-grade coding in Java, and Python/Scala Experience in the close examination of data and computation of statistics Experience in using and operating Big Data processing pipelines, such as: Hadoop and Spark Good verbal and written communication and collaboration skills Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.

Greetings, We have an opening for one of our clients " Mphasis " for " Scala Developer " position. Role & responsibilities Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field. Minimum 5 years of professional experience in Data Engineering, with a strong focus on big data technologies. Proficiency in Scala for developing big data applications and transformations, especially with Apache Spark. Expert-level proficiency in SQL; ability to write complex queries, optimize performance, and understand database internals. Extensive hands-on experience with Apache Spark (Spark SQL, DataFrames, RDDs) for large-scale data processing and analytics. Solid understanding of distributed computing concepts and experience with the Hadoop ecosystem (HDFS, Hive). Experience with building and optimizing ETL/ELT processes and data warehousing concepts. Strong understanding of data modeling techniques (e.g., Star Schema, Snowflake Schema). Familiarity with version control systems (e.g., Git). Excellent problem-solving, analytical, and communication skills. Ability to work independently and collaboratively in an Agile team environment. Work mode : Hybrid ( 3 days ) Location : Pune / Chennai

Role & responsibilities : Architectural Vision & Strategy:Define and articulate the technical vision, strategy, and roadmap for Big Data, data streaming, and NoSQL solutions, aligning with overall enterprise architecture and business goals. Solution Design & Blueprinting:Lead the end-to-end design of scalable, secure, and performant data architectures leveraging Apache Spark, Kafka, Hadoop Ecosystem components, Couchbase, and other relevant technologies. Create detailed architectural blueprints, including system diagrams, data flow diagrams, integration patterns, and non-functional requirements. Technology Evaluation & Selection:Research, evaluate, and recommend new technologies, tools, and platforms to address evolving business needs and technical challenges, conducting proof-of-concepts (PoCs) where necessary. Technical Leadership & Guidance:Provide expert technical leadership and mentorship to development teams, ensuring adherence to architectural principles, coding standards, and best practices. Conduct thorough code reviews to maintain high quality and optimize performance. Stakeholder Communication:Effectively communicate complex technical concepts, architectural decisions, risks, and trade-offs to diverse audiences, including technical teams, business stakeholders, and senior management. Performance & Scalability:Design solutions with a strong emphasis on performance, scalability, reliability, and cost-effectiveness. Identify and resolve performance bottlenecks and propose optimization strategies for existing and new systems. Data Governance & Security:Architect solutions that adhere to data governance policies, security standards, compliance regulations (e.g., GDPR, data residency), and privacy by design principles. Hands-on Contribution:Remain hands-on with technology by contributing to critical code modules, developing prototypes, and performing in-depth code reviews to ensure design integrity and efficiency. Documentation:Create and maintain comprehensive technical documentation, including architecture diagrams, design specifications, and implementationguidelines. Required Skills & Experience: 15+ years of progressive experiencein software development, data engineering, and solution architecture roles, with a strong focus on large-scale distributed systems. Expertise in Big Data Technologies: Apache Spark:Deep expertise in Spark architecture, Spark SQL, Spark Streaming, performance tuning, and optimization techniques. Experience with data processing paradigms (batch and real-time). Hadoop Ecosystem:Strong understanding of HDFS, YARN, Hive, and other related Hadoop components. Real-time Data Streaming: Apache Kafka:Expert-level knowledge of Kafka architecture, topics, partitions, producers, consumers, Kafka Streams, KSQL, and best practices for high-throughput, low-latency data pipelines. NoSQL Databases: Couchbase:In-depth experience with Couchbase (or similar document/key-value NoSQL databases like MongoDB, Cassandra), including data modeling, indexing, querying (N1QL), replication, scaling, and operational best practices. API Design & Development:Extensive experience in designing and implementing robust, scalable, and secure APIs (RESTful, GraphQL) for data access and integration. Programming & Code Review: Hands-on coding proficiencyin at least one relevant language (Python, Scala, Java) with a preference for Python and/or Scala for data engineering tasks. Proven experience in leading and performing code reviews, ensuring code quality, performance, and adherence to architectural guidelines. Cloud Platforms:Extensive experience designing and implementing solutions on at least one major cloud platform (AWS, Azure, GCP), leveraging their Big Data, streaming, and compute services. Database Fundamentals:Solid understanding of relational database concepts, SQL, and data warehousing principles. System Design & Architecture Patterns:Deep knowledge of various architectural patterns (e.g., Microservices, Event-Driven Architecture, Lambda/Kappa Architecture, Data Mesh) and their application in data solutions. DevOps & CI/CD:Familiarity with DevOps principles, CI/CD pipelines, infrastructure as code (IaC), and automated deployment strategies for data platforms.

Job Summary Location: BENGALURU Years of Experience: 7 10 Years Job Summary: We are seeking a highly skilled and motivated Technical Team Lead with a strong foundation in Data Science Essentials to join our dynamic team in ABIB BENGALURU. The ideal candidate will have 7- 10 years of experience in leading technical teams, driving data driven projects, and delivering innovative solutions. This role requires a blend of technical expertise, leadership capabilities, and a passion for mentoring and developing team members. Mandate Skill-Skill Sets in problem definition, data science solution design and development (forecasting, driver-based modelling, portfolio analytics preferred) Responsibilities: Lead and manage a team of data scientists and engineers, ensuring high quality deliverables and adherence to project timelines. Design and implement data science solutions that address business challenges and drive strategic initiatives. Collaborate with cross functional teams to gather requirements, define project scope, and establish clear objectives. Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and improvement. Stay updated with the latest trends and advancements in data science and related technologies, integrating them into team practices. Conduct code reviews and ensure best practices in data management, model development, and deployment. Communicate effectively with stakeholders, presenting complex data insights in a clear and actionable manner. Monitor project progress and performance metrics, making adjustments as necessary to meet goals. Mandatory Skills: Strong knowledge of Data Science Essentials, including statistical analysis, machine learning algorithms, and data visualization techniques. Proficiency in programming languages such as Python, R, or similar, with experience in data manipulation and analysis libraries. Experience with data processing frameworks and tools (e.g., Hadoop, Spark) and database management systems (e.g., SQL, NoSQL). Demonstrated ability to lead technical teams and manage multiple projects simultaneously. Excellent problem solving skills and a strong analytical mindset. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data science services. Familiarity with DevOps practices and tools for continuous integration and deployment. Knowledge of big data technologies and frameworks. Experience in Agile methodologies and project management tools. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. 7 10 years of relevant experience in data science, analytics, or a related technical field. Proven track record of leading successful data driven projects and teams. Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment. If you are a passionate leader with a strong foundation in data science and a desire to drive impactful projects, we encourage you to apply for this exciting opportunity.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Consultant, Advisors Client Services, Performance Analytics Consultant – Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Provide creative input on projects across a range of industries and problem statements Contribute to the development of analytics strategies and programs for regional and global clients by leveraging data and technology solutions to unlock client value Collaborate with Mastercard team to understand clients’ needs, agenda, and risks Develop working relationship with client analysts/managers, and act as trusted and reliable partner Team Collaboration & Culture Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients Independently identify trends, patterns, issues, and anomalies in defined area of analysis, and structure and synthesize own analysis to highlight relevant findings Lead internal and client meetings, and contribute to project management Contribute to the firm's intellectual capital Receive mentorship from performance analytics leaders for professional growth and development Qualifications Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience managing clients or internal stakeholders Ability to analyze large datasets and synthesize key findings Proficiency using data analytics software (e.g., Python, R, SQL, SAS) Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Additional data and analytics experience in building, managing, and maintaining database structures, working with data visualization tools (e.g., Tableau, Power BI), or working with Hadoop framework and coding using Impala, Hive, or PySpark Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence Experience managing tasks or workstreams in a collaborative team environment Ability to identify problems, brainstorm and analyze answers, and implement the best solutions Relevant industry expertise Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Managing Consultant - Analytics Managing Consultant – Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Lead client engagements across a range of industries and problem statements Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members’ roles and skills Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital Provide on-the-job training, coaching, and mentorship to junior consultants Qualifications Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience coaching and managing teams across multiple projects Experience managing key client relationships Knowledge of business KPIs, financials and organizational leadership Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS), building, managing, and maintaining database structures, working with data visualization tools (e.g., Tableau, Power BI) Advanced Word, Excel, and PowerPoint skills Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark Experience generating new knowledge or creating innovative solutions for a firm Relevant industry expertise Master’s degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required) For this role, specific focus on experience with risk, including credit risk, fraud in payments and authorisation of card payments. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Manager - Product Data & Analytics Job Description Product Data & Analytics Team Manager – Product Data & Analytics Overview Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. Are you excited about Data Assets and the value they brings to an organization? Are you an evangelist for data driven decision making? Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents? Do you want to be the go-to resource for data analytics in the company? The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company. Role & Responsibilities Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data in order to support analytics and reporting needs across products, markets and services. Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions. Translate business requirements into tangible technical solution specifications and high quality, on time deliverables. Create reusable processes to support development of modeling and reporting Effectively use tools to manipulate large-scale databases, synthesizing data insights. Provide 1st level insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel and PowerPoint. Apply quality control, data validation, and cleansing processes to new and existing data sources. Recruit, train, develop and supervise analyst-level employees. Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams. All About You Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis Financial Institution or a Payments experience a plus Experience presenting data findings in a readable and insight driven format. Experience building support decks. Advanced SQL skills, ability to write optimized queries for large data sets (Big data) Experience in building data models Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack Experience with data visualization tools such as Looker, Tableau, PowerBI Experience with Python, R, a plus Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage Excellent problem solving, quantitative and analytical skills In depth technical knowledge, drive and ability to learn new technologies Strong attention to detail and quality Team player, excellent communication skills Must be able to interact with management, internal stakeholders and collect requirements Must be able to perform in a team, use judgment and operate under ambiguity Education Bachelor’s or Master’s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred Additional Competencies Excellent English, quantitative, technical, and communication (oral/written) skills Analytical/Problem Solving Strong attention to detail and quality Creativity/Innovation Self-motivated, operates with a sense of urgency Project Management/Risk Mitigation Able to prioritize and perform multiple tasks simultaneously Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Associate Managing Consultant, Strategy & Transformation Overview Associate Managing Consultant – Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Manage deliverable development and workstreams on projects across a range of industries and problem statements Contribute to and/or develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Manage working relationship with client managers, and act as trusted and reliable partner Create predictive models using segmentation and regression techniques to drive profits Review analytics end-products to ensure accuracy, quality and timeliness. Proactively seek new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight Team Collaboration & Culture Develop sound business recommendations and deliver effective client presentations Plan, organize, and structure own work and that of junior project delivery consultants to identify effective analysis structures to address client problems and synthesize analyses into relevant findings Lead team and external meetings, and lead or co-lead project management Contribute to the firm's intellectual capital and solution development Grow from coaching to enable ownership of day-to-day project management across client projects, and mentor junior consultants Develop effective working relationships with local and global teams including business partners Qualifications Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience managing clients or internal stakeholders Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence Knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS) and building, managing, and maintaining database structures Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Additional data and analytics experience working with Hadoop framework and coding using Impala, Hive, or PySpark or working with data visualization tools (e.g., Tableau, Power BI) Experience managing tasks or workstreams in a collaborative team environment Experience coaching junior delivery consultants Relevant industry expertise MBA or master’s degree with relevant specialization (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Associate Managing Consultant, Advisors & Consulting Services, Performance Analytics Associate Managing Consultant – Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard Roles and Responsibilities Client Impact Manage deliverable development and workstreams on projects across a range of industries and problem statements Contribute to and/or develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Manage working relationship with client managers, and act as trusted and reliable partner Create predictive models using segmentation and regression techniques to drive profits Review analytics end-products to ensure accuracy, quality and timeliness. Proactively seek new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight Team Collaboration & Culture Develop sound business recommendations and deliver effective client presentations Plan, organize, and structure own work and that of junior project delivery consultants to identify effective analysis structures to address client problems and synthesize analyses into relevant findings Lead team and external meetings, and lead or co-lead project management Contribute to the firm's intellectual capital and solution development Grow from coaching to enable ownership of day-to-day project management across client projects, and mentor junior consultants Develop effective working relationships with local and global teams including business partners Qualifications Basic qualifications Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience managing clients or internal stakeholders Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence Knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS) and building, managing, and maintaining database structures Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred Qualifications Additional data and analytics experience working with Hadoop framework and coding using Impala, Hive, or PySpark or working with data visualization tools (e.g., Tableau, Power BI) Experience managing tasks or workstreams in a collaborative team environment Experience coaching junior delivery consultants Relevant industry expertise MBA or master’s degree with relevant specialization (not required) Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Analyst - Product Data & Analytics Our Purpose We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results. Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Our Team As consumer preference for digital payments continues to grow, ensuring a seamless and secure consumer experience is top of mind. Optimization Solutions team focuses on tracking of digital performance across all products and regions, understanding the factors influencing performance and the broader industry landscape. This includes delivering data-driven insights and business recommendations, engaging directly with key external stakeholders on implementing optimization solutions (new and existing), and partnering across the organization to drive alignment and ensure action is taken. Are you excited about Data Assets and the value they bring to an organization? Are you an evangelist for data-driven decision-making? Are you motivated to be part of a team that builds large-scale Analytical Capabilities supporting end users across 6 continents? Do you want to be the go-to resource for data science & analytics in the company? Role Expertise in creating ETL pipelines, ad hoc reporting and data visualizations. Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets, and services. Act as the direct owner for major sections of the process contributing to a larger role. Translates client/ stakeholder needs into technical analyses and/or custom solutions in collaboration with internal and external partners, derive insights and present findings and outcomes to clients/stakeholders to solve critical business questions. Responsible for developing data-driven innovative scalable analytical solutions and identifying opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions. Accountable for delivering high quality project solutions and tools within agreed upon timelines and budget parameters and conducting post- implementation reviews. Contributes to the development of custom analyses and solutions, derives insights from extracted data to solve critical business questions. All About You 4+ years of experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis. Experience in automating and creating data pipeline via tools such as Alteryx, SSIS. Expertise in Data visualization tools (Tableau, Domo, and/or Power BI/similar tools). Experience with data validation, quality control and cleansing processes to new and existing data sources. Advanced SQL skills, ability to write optimized queries for large data sets. Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server. Bachelor’s or Master’s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred Additional Competencies Excellent problem solving, quantitative and analytical skills. In depth technical knowledge, drive and ability to learn new technologies. Strong attention to detail and quality. Team player, excellent communication skills. Creativity/Innovation Self-motivated, operates with a sense of urgency Able to prioritize and perform multiple tasks simultaneously Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Associate Analyst - Product Data & Analytics Job Description Product Data & Analytics Team Associate Analyst – Product Data & Analytics Overview The Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. We are a hands-on global team providing scalable end-to-end data solutions. Working closely with the business, we influence decisions across Mastercard through data driven insights. We are a team on analytics engineers, data architects, BI developers, data analysts and data scientists, and fully manage our own data assets and solutions. Are you excited about Data Assets and the value they bring to an organization? Are you an evangelist for data driven decision making? Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents? Are you interested in proactively looking to improve data driven decisions for a global corporation? The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company. Role and responsibilities The Associate Analyst will be part of a strategic initiative to create a SSOT data platform for all transactional data assets within the organization. He/She will work alongside a team of analytics engineers, data analysts, data engineers to evaluate the current use cases across the organization, define the data platform design including the logical/conceptual data model, data mappings, and other platform documentation, collaborate with the data architects, data engineers to ensure platform build and will be responsible for the UAT before implementation. Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models. Serve as the Directly Responsible Individual for major sections of the platform logical/conceptual data model. Define data mappings, data dictionaries, data quality and UAT documentation. Maintain the Data Catalog, a scalable resource to support Self-Service and Single-source-of-truth analytics. Translate business requirements into tangible technical solution specifications and high quality, on time deliverables. Effectively use tools to manipulate large-scale databases, synthesizing data insights. Apply quality control, data validation, and cleansing processes to new and existing data sources. Implement the DataOps philosophy in everything you do. Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review. Collaborate with cross-functional teams, external vendors teams and technology suppliers to ensure delivery of high-quality services. All About You 6 months to 1 years’ experience in data analysis, data mining, data analytics, data reporting and data product development. Financial Institution or a Payments experience a plus. Proactive self-starter seeking initiatives to advance. Understanding of Data architecture and some experience in building logical/conceptual data models or creating data mapping documentation. Experience with data validation, quality control and cleansing processes to new and existing data sources. Advanced SQL skills, ability to write optimized queries for large data sets. Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud. Exposure to Python, Scala, Spark, Cloud and other related technologies a plus. Experience with data visualization tools such as Tableau, Domo, and/or PowerBI is a plus. Excellent problem solving, quantitative and analytical skills. In depth technical knowledge, drive and ability to learn new technologies. Strong attention to detail and quality. Team player, excellent communication skills. Must be able to interact with management, internal stakeholders and collect requirements. Must be able to perform in a team, use judgment and operate under ambiguity. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Apply Now Gurugram, India About Agoda Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world. Our Purpose – Bridging the World Through Travel We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness. We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. Get to Know our Team: In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team. The Opportunity: Agoda is looking for developers to work on mission critical systems that deal with the designing and development of APIs that serve millions of user search requests a day. In this Role, you’ll get to Lead development of features, experiments, technical projects and complex systems Be a technical architect, mentor, and driver towards the right technology Continue to evolve our architecture and build better software Be a major contributor to our agile and scrum practices Get involved with software engineering and collaborate with server, other client, and infrastructure technical team members to build the best solution Constantly look for ways to improve our products, code-base and development practices Write great code and help others write great code Drive Technical decisions in the organization What You’ll Need To Succeed 7+ years’ experience under your belt developing performance-critical applications that run in a production environment using Scala, Java or C# Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved Data platforms like SQL, Cassandra or Hadoop. You understand that different applications have different data requirements Good understanding of algorithms and data structures Strong coding ability You are passionate about the craft of software development and constantly work to improve your knowledge and skills Excellent verbal and written English communication skills It’s Great If You Have Experience with Scrum/Agile development methodologies Experience building large-scale distributed products Core engineering infrastructure tools like Git for source control, TeamCity for Continuous Integration and Puppet for deployment Hands-on experience working with technology like queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), Spark, Hadoop, NoSQL (Cassandra, MongoDB), Play framework, Akka library #india #newdelhi #Bangalore #Bengaluru #Pune #Hyderabad #Chennai #Kolkata #Lucknow #IT #ENG #4 #Mumbai #Delhi #Noida Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee. Copy Link Line WeChat LinkedIn Email

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Economic Analyst, North America (NAM) Economic Analyst, North America (NAM) Overview The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard’s efforts to build a more inclusive and sustainable digital economy The Economics Institute was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company’s product suites About The Role We are looking for an economic analyst to engage in data analytics and economic research for U.S. and Canada. This individual will report to the VP, Lead Economist for North America at MEI, and will have the following responsibilities: Support client and stakeholder engagements for the Economics Institute, specifically focusing on NAM economic research. Support collaboration with external clients, academic institutions, and industry partners. Generate initial insights to help create effective, impactful, and quality-assured storylines and visuals at the stream or small project level. Synthesize analyses into clear, sound recommendations. Outline and help write reports and draft client presentations at the work stream or project level. Enhance existing products and partner with internal stakeholders to create new solutions. Proactively seek new knowledge and structure project work to facilitate the capture of intellectual capital with minimal oversight. Actively participate in new solution development and support thought leadership activities by building knowledge, know-how, and best practices related to economic research; share and leverage to continuously improve quality and productivity. All About You Required: Bachelor's degree in Economics (preferred), Statistics, or Mathematics. Experience in statistical modeling, quantitative analysis, data engineering, R development, with a focus economic research. Understanding of statistics and econometric concepts, modeling and forecasting techniques Proficiency in SQL and Hadoop is essential. Expertise in R, Python, or other major statistical packages is essential. Experience with Tableau is strongly preferred. Knowledge of JavaScript for data visualization is a plus. Proficient in key econometric and statistical techniques such as predictive modeling, logistic regression, survival analysis, time series modeling, design of experiments, decision trees, and data mining methods. Willingness to learn additional statistical applications or software as required. Experience in the financial services industry is desirable. Excellent communication and strong writing skills required. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Data Scientist, Product Data & Analytics Senior Data Scientist, Product Data & Analytics Our Vision: Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. We are a hands-on global team providing scalable end-to-end data solutions by working closely with the business. We influence decisions across Mastercard through data driven insights. We are a team on analytics engineers, data architects, BI developers, data analysts and data scientists, and fully manage our own data assets and solutions. Are you excited about Data Assets and the value they bring to an organization? Are you an evangelist for data driven decision making? Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across the continents? Are you interested in proactively looking to improve data driven decisions for a global corporation? Role Responsible for developing data-driven innovative scalable analytical solutions and identifying opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions. Accountable for delivering high quality project solutions and tools within agreed upon timelines and budget parameters and conducting post- implementation reviews. Contributes to the development of custom analyses and solutions, derives insights from extracted data to solve critical business questions. Activities include developing and creating predictive models, behavioural segmentation frameworks, profitability analyses, ad hoc reporting, and data visualizations. Able to develop AI/ML capabilities, as needed on large volumes of data to support analytics and reporting needs across products, markets and services. Able to build end to end reusable, multi-purpose AI models to drive automated insights and recommendations. Leverage open and closed source technologies to solve business problems. Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets, and services. Support initiatives in developing predictive models, behavioural segmentation frameworks, profitability analyses, ad hoc reporting, and data visualizations. Translates client/ stakeholder needs into technical analyses and/or custom solutions in collaboration with internal and external partners, derive insights and present findings and outcomes to clients/stakeholders to solve critical business questions. Create repeatable processes to support development of modelling and reporting Delegate and reviews work for junior level colleagues to ensure downstream applications and tools are not compromised or delayed. Serves as a mentor for junior-level colleagues, and develops talent via ongoing technical training, peer review etc. All About You 6-8 years of experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis. Advanced SQL skills, ability to write optimized queries for large data sets. Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud, Snowflake, and other relevant technologies. Data visualization tools (Tableau, Domo, and/or Power BI/similar tools) experience is a plus Experience with data validation, quality control and cleansing processes to new and existing data sources. Experience on Classical and Deep Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks - Feedforward, CNN, NLP, etc. Experience on Deep Learning algorithm techniques, open-source tools and technologies, statistical tools, and programming environments such as Python, R, and Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning. Experience in automating and creating data pipeline via tools such as Alteryx, SSIS. Nifi is a plus Financial Institution or a Payments experience a plus Additional Competencies Excellent English, quantitative, technical, and communication (oral/written) skills. Ownership of end-to-end Project Delivery/Risk Mitigation Virtual team management and manage stakeholders by influence Analytical/Problem Solving Able to prioritize and perform multiple tasks simultaneously Able to work across varying time zone. Strong attention to detail and quality Creativity/Innovation Self-motivated, operates with a sense of urgency. In depth technical knowledge, drive, and ability to learn new technologies. Must be able to interact with management, internal stakeholders Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must. Abide by Mastercard’s security policies and practices. Ensure the confidentiality and integrity of the information being accessed. Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. #AI Corporate Security Responsibility All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And, Therefore, It Is Expected That Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security And Must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Software Engineer Overview We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. Our Team Within Mastercard – Data & Services The Data & Services team is a key differentiator for Mastercard, providing the cutting-edge services that are used by some of the world's largest organizations to make multi-million dollar decisions and grow their businesses. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. Data Analytics And AI Solutions (DAAI) Program Within the D&S Technology Team, the DAAI program is a relatively new program that is comprised of a rich set of products that provide accurate perspectives on Portfolio Optimization, and Ad Insights. Currently, we are enhancing our customer experience with new user interfaces, moving to API and web application-based data publishing to allow for seamless integration in other Mastercard products and externally, utilizing new data sets and algorithms to further analytic capabilities, and generating scalable big data processes. We are looking for an innovative software engineering lead who will lead the technical design and development of an Analytic Foundation. The Analytic Foundation is a suite of individually commercialized analytical capabilities (think prediction as a service, matching as a service or forecasting as a service) that also includes a comprehensive data platform. These services will be offered through a series of APIs that deliver data and insights from various points along a central data store. This individual will partner closely with other areas of the business to build and enhance solutions that drive value for our customers. Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. The range of work you will encounter varies from building intuitive, responsive UIs to designing backend data models, architecting data flows, and beyond. There are no rigid organizational structures, and each team uses processes that work best for its members and projects. Here are a few examples of products in our space: Portfolio Optimizer (PO) is a solution that leverages Mastercard’s data assets and analytics to allow issuers to identify and increase revenue opportunities within their credit and debit portfolios. Ad Insights uses anonymized and aggregated transaction insights to offer targeting segments that have high likelihood to make purchases within a category to allow for more effective campaign planning and activation. Help found a new, fast-growing engineering team! Position Responsibilities As a Senior Software Engineer, you will: Play a large role in scoping, design and implementation of complex features Push the boundaries of analytics and powerful, scalable applications Design and implement intuitive, responsive UIs that allow issuers to better understand data and analytics Build and maintain analytics and data models to enable performant and scalable products Ensure a high-quality code base by writing and reviewing performant, well-tested code Mentor junior software engineers and teammates Drive innovative improvements to team development processes Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features Collaborate across teams with exceptional peers who are passionate about what they do Ideal Candidate Qualifications 5+ years of full stack engineering experience in an agile production environment Experience leading the design and implementation of large, complex features in full-stack applications Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it Experience coaching and mentoring junior teammates Experience leading a large technical effort that spans multiple people and teams Proficiency with Java/Spring Boot, .NET/C#, SQL Server or other object-oriented languages, front-end frameworks, and/or relational database technologies Some proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms Some experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python Strong technologist with proven track record of learning new technologies and frameworks Customer-centric development approach Passion for analytical / quantitative problem solving Experience identifying and implementing technical improvements to development processes Collaboration skills with experience working with people across roles and geographies Motivation, creativity, self-direction, and desire to thrive on small project teams Superior academic record with a degree in Computer Science or related technical field Strong written and verbal English communication skills Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Software Engineer II We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) Role Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You : Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Software Engineer "Overview Mastercard is a global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. As a Data Engineer in Data Platform and Engineering Services, you will have the opportunity to build high performance data pipelines to load into Mastercard Data Warehouse. Our Data Warehouse provides analytical capabilities to a number of business users who help different customers provide answers to their business problems through data. You will play a vital role within a rapidly growing organization, while working closely with experienced and driven engineers to solve challenging problems. Role Develop high quality, secure and scalable data pipelines using spark, Java/Scala on object storage and Hadoop Follow MasterCard Quality Assurance and Quality Control processes Leverage new technologies and approaches to innovating with increasingly large data sets Work with project team to meet scheduled due dates, while identifying emerging issues and recommending solutions for problems Perform assigned tasks and production incident independently Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance standards and improve process efficiency All About You 3 to 5 years of experience in Data Engineering and implementing multiple end-to-end DW projects in Big Data environment Experience of building data pipelines through Spark with Java/Scala on Hadoop or Object storage Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge Experience of working on Nifi will be an added advantage Experience of working with APIs will be an added advantage Experience of working in Agile teams Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan Strong communication skills - both verbal and written – and strong relationship, collaboration skills and organizational skills Ability to multi-task across multiple projects, interface with external / internal resources and provide technical leadership to junior team members Ability to be high-energy, detail-oriented, proactive and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results Ability to quickly learn and implement new technologies, and perform POC to explore best solution for the problem statement Flexibility to work as a member of a matrix based diverse and geographically distributed project teams" Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Product Manager - Business Analytics Overview At Mastercard Data & Services, we empower organizations worldwide with the tools to make smarter, data-driven decisions. Our portfolio goes beyond transactions to deliver real-time, anonymized, and aggregated data insights, powerful software platforms, and unmatched analytical expertise. We work with leading players across industries—banking, retail, telecommunications, travel, and more—to unlock value through innovative data and analytics solutions. We are seeking a Product Specialist for our Targeting Analytics Product Management team to support the evolution of our Merchant Analytics product suite. This role requires a blend of strategic vision, technical depth, and a strong customer-centric mindset. Role Summary As a Product specialist, you will play a hands-on role in the design, development, and enhancement of Mastercard’s Merchant Analytics product suite. You’ll work directly with data, define product requirements, perform detailed analysis, and collaborate closely with engineering, design, and program management teams to bring scalable analytics products to life. You'll be deeply involved across the product lifecycle—from ideation and backlog management to UAT and production monitoring-ensuring that every feature shipped delivers meaningful value to our customers. You will also partner with commercial teams to support product rollouts, build internal documentation, and troubleshoot issues as part of a lean, agile, and high-impact product team. Key Responsibilities Product Development & Management Define business and technical requirements for product enhancements and new solutions. Lead product backlog grooming, sprint planning, and reviews in an Agile environment. Guide the technical roadmap in partnership with engineering and design teams. Operational Excellence Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients Lead product operations for ongoing enhancement, automation, and delivery. Promote and institutionalize documentation best practices for knowledge continuity. Client Impact Independently identify trends, patterns, issues, and anomalies in defined area of analysis, and structure and synthesize own analysis to highlight relevant findings Translate client problems into actionable product requirements. Collaborate directly with clients and delivery teams to shape and refine solutions. Ensure solutions are designed to generate measurable value and customer success. Lead internal and client meetings, and contribute to project management Cross-functional Leadership Foster a collaborative, high-performance culture within cross-functional teams. Serve as a mentor for junior analysts and product contributors. Drive adoption of product management processes and tools across the team. Qualifications Basic Requirements 4-9 years of overall career experience in Performance Analytics or 2-3 years post MBA/Masters experience In Business Analytics, Computer Science, or related field with 1+ years in Agile product management Strong experience with SQL and Python for data analysis. Exposure to big data tools (Hadoop, Hive, Impala, PySpark) Ability to analyze large datasets and synthesize key findings Strong verbal and written communication skills with the ability to simplify technical topics. Proven experience influencing diverse stakeholders and managing competing priorities. Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment Preferred Qualifications Experience working with data visualization tools (e.g., Tableau, Power BI). Experience embedding ML models into analytical platforms. Familiarity with Studio frameworks, Agile rituals, and CI/CD tools. Corporate Security Responsibilities All Mastercard Employees Are Responsible For Following Mastercard’s information security policies and practices. Safeguarding Mastercard’s data and systems from unauthorized access or disclosure. Reporting potential security incidents and completing required training programs. Why Join Us Shape the future of data-driven decision-making. Work on cutting-edge analytical and AI solutions. Collaborate with a diverse, global team of experts. Contribute to high-impact products used by clients worldwide. If you’re passionate about turning data into scalable products and driving real business impact, we invite you to be part of our journey. Apply Now to be a part of Mastercard’s data innovation revolution. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Manager Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities Experience All About You Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: Confluence (Documentation) Bitbucket/Stash (Code Sharing) Shared Folders (File Sharing) ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required #AI1 Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Data Scientist Job Description Product Data & Analytics Team Senior Data Scientist – Product Data & Analytics Overview Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. Are you excited about Data Assets and the value they bring to an organization? Are you an evangelist for data driven decision making? Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents? Do you want to be the go-to resource for data analytics in the company? The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company. Role & Responsibilities Work closely with global & regional teams to architect, develop, and maintain data engineering, advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets and services. Obtain data from multiple sources, collate, analyze, and triangulate information to develop reliable fact bases. Effectively use tools to manipulate large-scale databases, synthesizing data insights. Execute cross-functional projects using advanced modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Build, develop and maintain data models, reporting systems, dashboards and performance metrics that support key business decisions. Extract intellectual capital from engagement work and actively share tools, methods and best practices across projects Provide 1st level insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel and PowerPoint. Apply quality control, data validation, and cleansing processes to new and existing data sources. Lead, mentor and guide more junior team members. Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams. Bring your Passion and Expertise All About You Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis Financial Institution or a Payments experience a plus Experience presenting data findings in a readable and insight driven format. Experience building support decks. Advanced SQL skills, ability to write optimized queries for large data sets (Big data) Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack Experience with data visualization tools such as Looker, Tableau, PowerBI Experience with Python, R, Databricks a plus Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage Excellent problem solving, quantitative and analytical skills In depth technical knowledge, drive and ability to learn new technologies Strong attention to detail and quality Team player, excellent communication skills Must be able to interact with management, internal stakeholders and collect requirements Must be able to perform in a team, use judgment and operate under ambiguity Education Bachelor’s or Master’s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics Additional Competencies Excellent English, quantitative, technical, and communication (oral/written) skills Analytical/Problem Solving Strong attention to detail and quality Creativity/Innovation Self-motivated, operates with a sense of urgency Project Management/Risk Mitigation Able to prioritize and perform multiple tasks simultaneously Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.