861 Data Mining Jobs - Page 26

The Quality Analytics team in GDIA is currently seeking a talented and experienced senior data scientist who can effectively oversee and mentor junior data scientists within the team. This role will involve leading and supporting the analytics team to ensure high-quality data analysis and reporting. If you have a passion for data science and a proven ability to guide and develop junior team members, we encourage you to apply. Preferred Requirements 1+ years of experience with Product Driven Organization (PDO) Model 1+ years of experience leading a team of data scientists in an OEM 2+ years of experience leading an analytic team in a product owner role in an OEM 2+ years of hands-on experience with data modeling, data mining, machine learning algorithms or statistical analysis Demonstrated success in delivering analytics products, with exposure to machine learning and advanced data analysis techniques. Agile/Scrum certification or equivalent experience is a plus. Experience with product lifecycle management tools and analytics platforms. Excellent leadership, communication, and interpersonal skills. Ability to thrive in a fast-paced, collaborative, and innovative environment. Minimum requirements 2+ years of experience working in a team environment, supporting customer/end users. 2+ years of hands-on experience in Python programming for data analysis and machine learning. 2+ years of experience implementing and maintaining successful cross functional demand and integration management. 2+ years of experience with agile and lean workflow management methodologies (e. g. , Kanban) 2+ years of experience with project management tools to manage user requirements, stories, and tracking the delivery process (Confluence/Jira or Rally) 2+ years of experience with developing and delivering data products to support analytic applications.

Join us as a Decision Analyst at Barclays, where youll spearhead the evolution of our digital landscape, driving innovation and excellence. Youll harness cutting-edge technology to revolutionize our digital offerings ensuring unapparelled customer experiences. BUK Decision and Analytics team exist to harness the power of our data, using advanced analytics and data science, to deliver assets, that drive the performance of the bank, enabling smarter, faster, and more proactive decision making, and using information to transform the lives of our customers, colleagues, and the communities we live in, whilst protecting the sustainable advantage our data creates. This team gives an opportunity to work directly with business heads and influence their decision making through use of advanced analytics and data science to solve complex business problems. To be a successful Decision Analyst you should have experience with: Experience in data mining and building predictive machine learning models using both structured and unstructured data. Understanding of machine learning algorithms and their applications. Experience in Data science project life cycle from use case framing, data exploration, model building, deployment etc. Knowledge of Python SQL. Some other highly valued skills may include: Strong communication skills. Good in storytelling. Good at problem solving skills. You may be assessed on essential skills relevant to succeed in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. Job location of this role is Noida. Purpose of the role To extract meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across the departments. Accountabilities Identification and extraction of relevant data from various internal and external sources. Performing sensitivity analysis and scenario planning. Monitoring and evaluation of the performance of existing models. Development and implementation of data quality control procedures. Building and validation of quantitative models to support decision-making across different business areas. Analyst Expectations To meet the needs of stakeholders/ customers through specialist advice and support Perform prescribed activities in a timely manner and to a high standard which will impact both the role itself and surrounding roles. Likely to have responsibility for specific processes within a team They may lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. They supervise a team, allocate work requirements and coordinate team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they manage own workload, take responsibility for the implementation of systems and processes within own work area and participate on projects broader than direct team. Execute work requirements as identified in processes and procedures, collaborating with and impacting on the work of closely related teams. Check work of colleagues within team to meet internal and stakeholder requirements. Provide specialist advice and support pertaining to own work area. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how all teams in area contribute to the objectives of the broader sub-function, delivering impact on the work of collaborating teams. Continually develop awareness of the underlying principles and concepts on which the work within the area of responsibility is based, building upon administrative / operational expertise. Make judgements based on practise and previous experience. Assess the validity and applicability of previous or similar experiences and evaluate options under circumstances that are not covered by procedures. Communicate sensitive or difficult information to customers in areas related specifically to customer advice or day to day administrative requirements. Build relationships with stakeholders/ customers to identify and address their needs.

Title: Market Research Analyst Our Client is a leading recycler of electronic waste (e-waste) in India. We specialize in Extended Producer Responsibility (EPR) credit issuance, return filing, environmental awareness campaigns, and offer expert ESG and CSR consultancy services. We are committed to promoting sustainability, regulatory compliance, and circular economy principles. Location: Gachibowli, Hyderabad Industry: E-Waste Management / Sustainability / Recycling Experience Required: 13 years Employment Type: Full-time About the Role As a Market Research Analyst, you will provide critical insights to support business strategy by analyzing trends, regulations, competitors, and customer behavior in the e-waste and sustainability sector. Key Responsibilities Conduct in-depth market and regulatory research focused on EPR, ESG, and e-waste trends. Track updates from CPCB/SPCB and monitor environmental policy developments. Analyze demand for EPR credits across sectors including FMCG, electronics, and packaging. Maintain competitor intelligence on pricing, services, and positioning. Generate market reports and forecasts for internal strategic planning. Design and interpret surveys on client satisfaction and industry perception. Required Qualifications Bachelors degree in Marketing, Economics, Environmental Sciences, or a related field. Proficient in data analysis tools such as Excel and PowerPoint. Strong research and analytical skills. Previous experience in sustainability or waste management is preferred. Desired Attributes Detail-oriented, organized, and curious. Good written and verbal communication skills.

Job Description: Role Title: AVP Lead CSS QA Data Analyst (L11) COMPANY OVERVIEW: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India s Best Companies to Work for by Great Place to Work. We were among the Top 50 India s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~51% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview: Role will be reporting into the Client Systems Support (CSS) /IT Organization, Tech Ops Role Summary/Purpose: The AVP, CSS Lead Data Analyst role within CSS is an individual contributor role and provides critical support to both technology and business stakeholders through specialized data investigation and processing capabilities. This position goes beyond standard business intelligence by performing methodical, yet creative data exploration to solve complex business challenges. The role serves as the technical bridge between raw data and actionable insights, supporting initiatives ranging from incident remediation and customer complaint resolution to pricing strategy validation and compliance verification. Through deep system knowledge and technical expertise with SAS and other query languages, this position enables SYF to make data-driven decisions, ensure accuracy of partner transactions and SYF IT managed Fiserv Optis configurations, cardholder billing initiatives, and maintain regulatory compliance across its portfolios. Specifically, this role provides direct support to the Client Systems Support (CSS) - IT team and functional business partners through production data analysis related to various IT programs including focused on but not limited to rewards/loyalty programs and marketing spend and get bonus programs. Key Responsibilities: Design, develop, and code data queries using SAS and other data analytics/query tools to capture and analyze cardholder and transactional data from Synchrony data warehouses and Fiserv to proactively validate accuracy and monitor production performance of CSS-driven changes such as rewards/loyalty campaigns. Interact closely with multiple teams and leaders to understand project requirements and system setup parameters. Translate details into technical criteria necessary to obtain relevant production data Include and maintain all required supporting documentation for future audit and legal review. Identify and work with IT partners to implement quality improvement programs Perform special assignments and other duties as assigned Required Skills/Knowledge : Minimum 2 years of experience with data analysis and data mining tools including SAS Demonstrated strong cross-functional team player Ability to analyze, use structured problem solving and available tools to troubleshoot systems, identify root cause, action plans, impact and resolution options Desired Skills/Knowledge : 3+ years knowledge of First Data Processing system, including Information Delivery Platform (IDP reports) and cardholder billing processes Excellent interpersonal skills with ability to influence clients, team members, management and external groups Superior oral and written communication, analytical and problem solving skills Eligibility Criteria: Bachelors degree and 3 years of IT experience OR 2) in lieu of degree High School Diploma/GED and 5 years of Project Management experience in IT environment Minimum 2 years of experience with credit card processing or financial services WORK TIMINGS : 2PM to 11 PM IST This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time - 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details.) For Internal Applicants: Understand the criteria or mandatory skills required for the role, before applying Inform your manager and HRM before applying for any role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (First Formal/Final Formal, PIP) L9+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L9 Employees can apply Level / Grade : 11 Job Family Group: Information Technology

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. The ATT team, based in Bangalore, is responsible for ensuring that ads are relevant and are of good quality, leading to higher conversion for the sellers and providing a great experience for the customers. We deal with one of the world s largest product catalog, handle billions of requests a day with plans to grow it by an order of magnitude and use automated systems to validate tens of millions of offers submitted by thousands of merchants in multiple countries and languages. In this role, you will build and develop ML models to address content understanding and labelling problems in Ads. These models will rely on a variety of visual and textual features requiring expertise in both domains. These models need to scale to multiple languages and countries. You will collaborate with engineers and other scientists to build, train and deploy these models. As part of these activities, you will develop production level code that enables labelling of advertising assets and moderation of millions of ads submitted each day. - PhD in a quantitative field, or MS degree and 1+ years of quantitative field research experience - Experience investigating the feasibility of applying scientific principles and concepts to business problems and products - Experience with data analysis package (R, SAS, Matlab, etc.) - Experience using SQL databases to manage and analyze large data sets - PhD in operations research, applied mathematics, theoretical computer science, or equivalent - Experience applying forecasting and data mining techniques

Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the comprehensive e-commerce product catalog. We power the online shopping experience for customers worldwide, enabling them to find, discover, and purchase anything they desire. Our scaled, distributed systems process hundreds of millions of updates across billions of products, including physical, digital, and service offerings. You will be part of Catalog Support Programs (CSP) team under Catalog Support Operations (CSO) in ASCS Org. CSP provides program management, technical support, and strategic initiatives to enhance the customer experience, owning the implementation of business logic and configurations for ASCS. We are establishing a new centralized Business Intelligence team to build self-service analytical products for ASCS that provide relevant insights and data deep dives across the business. By leveraging advanced analytics and AI/ML, we will transform catalog data into predictive insights, helping prevent customer issues before they arise. Real-time intelligence will support proactive decision-making, enabling faster, data-driven decisions across the organization and driving long-term growth and an enhanced customer experience. We are looking for a creative and goal-oriented BI Engineer to join our team to harness the full potential of data-driven insights to make informed decisions, identify business opportunities and drive business growth. This role requires an individual with excellent analytical abilities, knowledge of business intelligence solutions, as well as business acumen and the ability to work with various tech/product teams across ASCS. This BI Engineer will support ASCS org by owning complex reporting and automating reporting solutions, and ultimately provide insights and drivers for decision making. You must be a self-starter and be able to learn on the go. You should have excellent written and verbal communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. As a Business Intelligence Engineer in the CSP team, you will be responsible for analyzing petabytes of data to identify business trends and points of customer friction, and developing scalable solutions to enhance customer experience and safety. You will work closely with internal stakeholders to define key performance indicators (KPIs), implement them into dashboards and reports, and present insights in a concise and effective manner. This role will involve collaborating with business and tech leaders within ASCS and cross-functional teams to solve problems, create operational efficiencies, and deliver against high organizational standards. You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions and proactively uncover new insights that drive decision-making by senior leadership. As a key member of the CSP team, you will continually raise the bar on both quality and performance. You will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. There will be a steep learning curve, adding a fair amount of business skills to the individual. Work closely with BIEs, Data Engineers, and Scientists in the team to collaborate effectively with product managers and create scalable solutions for business problems Create program goals and related metrics, track progress, and manage through obstacles to help the team achieve objectives Identify opportunities for improvement or automation in existing data processes and lead the changes using business acumen and data handling skills Ensure best practices on data integrity, design, testing, implementation, documentation, and knowledge sharing Contribute to supplier operations strategy development based on data analysis Lead strategic projects to formalize and scale organizational processes Build and manage weekly, monthly, and quarterly business review metrics Build data reports and dashboards using SQL, Excel, and other tools to improve business efficiency across programs Understand loosely defined or structured problems and provide BI solutions for difficult problems, delivering large-scale BI solutions Provide solutions that drive the teams business decisions and highlight new opportunities Improve code quality and optimize BI processes Demonstrate proficiency in a scripting language, data modeling, data pipeline design, and applying basic statistical methods (e.g., regression) for difficult business problems A day in the life A day in the life of a BIE-II will include: Working closely with cross-functional teams including Product/Program Managers, Software Development Managers, Applied/Research/Data Scientists, and Software Developers Building dashboards, performing root cause analysis, and sharing actionable insights with stakeholders to enable data-informed decision making Leading reporting and analytics initiatives to drive data-informed decision making Designing, developing, and maintaining ETL processes and data visualization dashboards using Amazon QuickSight Transforming complex business requirements into actionable analytics solutions. About the team This central BIE team within ASCS will be responsible for building a structured analytical data layer, bringing in BI discipline by defining metrics in a standardized way and establishing a single definition of metrics across the catalog ecosystem. They will also identify clear sources of truth for critical data. The team will build and maintain the data pipelines for critical projects tailored to the needs of ASCS teams, leveraging catalog data to provide a unified view of product information. This will support real-time decision-making and empower teams to make data-driven decisions quickly, driving innovation. This team will leverage advanced analytics that can shift us to a proactive, data-driven approach, enabling informed decisions that drive growth and enhance the customer experience. This team will adopt best practices, standardize metrics, and continuously iterate on queries and data sets as they evolve. Automated quality controls and real-time monitoring will ensure consistent data quality across the organization. - 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business - Experience writing complex SQL queries - Bachelors degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - Experience with scripting languages (e.g., Python, Java, R) and big data technologies/languages (e.g. Spark, Hive, Hadoop, PyTorch, PySpark) to build and maintain data pipelines and ETL processes - Demonstrate proficiency in SQL, data analysis, and data visualization tools like Amazon QuickSight to drive data-driven decision making. - Experience applying basic statistical methods (e.g. regression, t-test, Chi-squared) as well as exploratory, deterministic, and probabilistic analysis techniques to solve complex business problems. - Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports. - Track record of generating key business insights and collaborating with stakeholders. - Strong verbal and written communication skills, with the ability to effectively present data insights to both technical and non-technical audiences, including senior management - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - Masters degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - Proven track record of conducting large-scale, complex data analysis to support business decision-making in a data warehouse environment - Demonstrated ability to translate business needs into data-driven solutions and vice versa - Relentless curiosity and drive to explore emerging trends and technologies in the field - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis, as well as exploratory, deterministic, and probabilistic analysis techniques - Experience in designing and implementing custom reporting systems using automation tools - Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)

Amazon Retail Financial Intelligence Systems is seeking a seasoned and talented Senior Data Engineer to join the Fortune Platform team. Fortune is a fast growing team with a mandate to build tools to automate profit-and-loss forecasting and planning for the Physical Consumer business. We are building the next generation Business Intelligence solutions using big data technologies such as Apache Spark, Hive/Hadoop, and distributed query engines. As a Data Engineer in Amazon, you will be working in a large, extremely complex and dynamic data environment. You should be passionate about working with big data and are able to learn new technologies rapidly and evaluate them critically. You should have excellent communication skills and be able to work with business owners to translate business requirements into system solutions. You are a self-starter, comfortable with ambiguity, and working in a fast-paced and ever-changing environment. Ideally, you are also experienced with at least one of the programming languages such as Java, C++, Spark/Scala, Python, etc. Major Responsibilities: - Work with a team of product and program managers, engineering leaders, and business leaders to build data architectures and platforms to support business - Design, develop, and operate high-scalable, high-performance, low-cost, and accurate data pipelines in distributed data processing platforms - Recognize and adopt best practices in data processing, reporting, and analysis: data integrity, test design, analysis, validation, and documentation - Keep up to date with big data technologies, evaluate and make decisions around the use of new or existing software products to design the data architecture - Design, build and own all the components of a high-volume data warehouse end to end. - Provide end-to-end data engineering support for project lifecycle execution (design, execution and risk assessment) - Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers - Interface with other technology teams to extract, transform, and load (ETL) data from a wide variety of data sources - Own the functional and nonfunctional scaling of software systems in your ownership area. - Implement big data solutions for distributed computing. As a DE on our team, you will be responsible for leading the data modelling, database design, and launch of some of the core data pipelines. You will have significant influence on our overall strategy by helping define the data model, drive the database design, and spearhead the best practices to delivery high quality products. About the team Profit intelligence systems measures, predicts true profit(/loss) for each item as a result of a specific shipment to an Amazon customer. Profit Intelligence is all about providing intelligent ways for Amazon to understand profitability across retail business. What are the hidden factors driving the growth or profitability across millions of shipments each day We compute the profitability of each and every shipment that gets shipped out of Amazon. Guess what, we predict the profitability of future possible shipments too. We are a team of agile, can-do engineers, who believe that not only are moon shots possible but that they can be done before lunch. All it takes is finding new ideas that challenge our preconceived notions of how things should be done. Process and procedure matter less than ideas and the practical work of getting stuff done. This is a place for exploring the new and taking risks. We push the envelope in using cloud services in AWS as well as the latest in distributed systems, forecasting algorithms, and data mining. - 3+ years of data engineering experience - 4+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Location(s): Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN Line Of Business: ROC(ROC) Job Category: Corporate Services Experience Level: Experienced Hire Skills and Competencies Problem-solving and stakeholder collaboration: Strong analytical and problem-solving skills to identify data anomalies and in-efficiencies with the ability to collaborate cross functionally to drive common consensus. Data Quality : Expertise in assessing, monitoring and improving data quality by data validation rules and issue resolution of operational processes to ensure accuracy, consistency and compliance. Data Analysis/Mapping: Proficient in SQL for data extraction, analysis and mapping, experience with Data Profiling, ETL and Data Reporting tools a plus. Alteryx/Databricks for workflow automation and data preparation and Power BI for creating dashboards and reports to drive data-driven decision-making. Documentation and data governance: Proficient in developing and maintaining comprehensive documentations including standard operating procedures, data dictionaries, data mapping related to regulatory reporting reports and feeds 3-5 years of Business/System/Data Analyst experience into data management and/or data quality (knowledge of database structures, data lineage mapping, data governance reporting, data mappings, process flows, conceptual data modeling, among others.) Experience collaborating with customers and/or users to understand data requirements, use cases and working with unstructured data along with Master Data Management and Data Governance tools such as DBeaver, pgAdmin, Access, Collibra. Proficiency in MS Excel (VBA, macros, VLookups etc.), SQL, Word, and PowerPoint are required. JIRA, and Agile methodology experience a plus. Self-starter and team player with ability to meet tight deadlines and balance multiple, competing priorities Education Undergraduate BA/BS degree in Business, Finance, Technology, Engineering, or related field is required. Certifications: (Preferred but not mandatory) SQL Certification (Microsoft SQL Server, Oracle SQL, or Google Data Analytics), Alteryx Designer Core or Advanced Certification, Databricks Certifications, Responsibilities The data analyst role will be responsible for maintaining data accuracy, data lineage, identifying data quality issues, patterns, and anomalies to ensure data accuracy and completeness in reports/feeds. This role will also facilitate the process of working with the Report Owners, Technology, and other teams (e.g., ODC, Compliance, Government and Public Affairs, Legal, MIT, etc.) to ensure the accuracy and quality of regulatory report data and ways to automate data validation tasks. Operationally manage data quality issues to determine root cause/deep dive analyses and manage remediation efforts in collaboration with sources providing the data. Identify areas for data quality improvement and help to resolve data quality problems through the appropriate choice of error detection and correction, process controls and improvement, or process design strategies. Work on data mining, data cleansing, reconciliation, and data maintenance activities with stakeholders for the regulatory reporting function. Develop and demonstrate Subject Matter Expertise on Regulatory Reporting assets as well as Policies, Procedures and Guidelines. Perform data lifecycle analysis including data profiling, requirements gathering and documenting, data mappings, process and data design flows, data quality controls input, creating automated business rules and testing assistance. Participate in the definition of data concepts, common reference data and establish sound data usage practices with relevant partners. Responsible for ensuring data s quality and fitness for purpose of the organizations regulatory reporting data assets, including working with Tech teams for storing the metadata for those data assets. Develop and maintain Standard Operating Procedures (SOP), update and manage data dictionary and other related data in Collibra and ensure adherence to data governance standards. Define, document, and manage business and data requirements and data mappings collaborate with key stakeholder cross-vertically and globally to support MIS strategy and activities. Our Regulatory Reporting - Data Quality team is responsible for upholding the highest standards of data accuracy, consistency, completeness, and reliability, ensuring that Moody s Ratings data is proactively managed and delivered in our regulatory reports and feeds. By joining our team, you will be part of exciting work in Ratings Operations Regulatory Reporting in Bengaluru. Our Global Ratings Operations Controls (ROC) team is seeking a Data Quality Analyst to assist in data improvement initiatives across the ROC Regulatory Reporting function. They will work closely with cross-functional teams that adopt Agile operating methods.

Your tasks As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio. You Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners. Collaborate with stakeholders to identify data and AI opportunities, translates business needs into actionable data requirements and success metrics, and drives prioritization of use cases based on feasibility and impact . Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions. Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities. Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results. Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis. Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling. Establish and maintain partnerships with internal and external partners. Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness. Ensure data quality and integrity through rigorous validation and testing procedures. Mentor and train junior data scientists to build a strong and capable team. Your Qualifications University degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. Extensive knowledge of data science techniques including descriptive and inferential statistics, big data and data mining technologies, and machine learning. Extensive experience in Data Science, AI, and Machine Learning, with a solid understanding of algorithms, predictive models, deep learning, and natural language processing (NLP). Strong technical proficiency in programming languages and tools (Python, R, TensorFlow, PyTorch, etc.) More than 8 years of dedicated experience in various data science-related roles in the industry. Experience in agile project management with internal and external partners. Strong project management skills with the ability to manage multiple projects simultaneously. Excellent communication and leadership skills. Critical thinking, organizational skills, and a problem-solving mindset. Experience in a manufacturing industry is a plus. Inspire your stakeholders and contact partners with effective communication and high intercultural sensitivity. Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success. Up-to-date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc. Proven ability to translate complex data into actionable insights for non-technical stakeholders. Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities.

Your tasks As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio. You Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners. Collaborates with stakeholders to identify data and AI opportunities, translates business needs into actionable data requirements and success metrics, and drives prioritization of use cases based on feasibility and impact . Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions. Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities. Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results. Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis. Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling. Establish and maintain partnerships with internal and external partners. Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness. Ensure data quality and integrity through rigorous validation and testing procedures. Your Qualifications University degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. Extensive knowledge of data science techniques including descriptive and inferential statistics, big data and data mining technologies, and machine learning. Extensive experience in Data Science, AI, and Machine Learning, with a solid understanding of algorithms, predictive models, deep learning, and natural language processing (NLP). Strong technical proficiency in programming languages and tools (Python, R, TensorFlow, PyTorch, etc.) More than 5 years of dedicated experience in various data science-related roles in the industry. Excellent communication and leadership skills. Critical thinking, organizational skills, and a problem-solving mindset. Experience in a manufacturing industry is a plus. Inspire your stakeholders and contact partners with effective communication and high intercultural sensitivity. Collaborative, team player attitude and convinced that networking and knowledge sharing are key drivers for success. Up-to-date on the latest trends in the industry concerning classical data science, data mining, advanced analytics, etc. Proven ability to translate complex data into actionable insights for non-technical stakeholders. Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities.

Are you interested on understanding how Amazon Pay India scales within AmazonCan you help improve the way we improve customer insights, profitability, customise processes to better suit the needs of APAY looking to expand its customer base We are Amazon Pay Data Products team and we are looking to expand the way we build our data products for our Internal Customers with range of Datamarts, Aggregates, Insights and Analytics. As an APAY Business Analyst you will be working in one of the worlds largest and most complex data warehouse environments. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. Above all you should be passionate about bringing large datasets together to answer business questions and drive change. A day in the life - Understand Business Requirements (Internal and Business Stake Holders) - Translate them to Design Document - Create Metrics X Dimension Matrix - Design Datamodels for Facts Dimensions - Implementation of ETL - Ownership of datamarts / Enhancements About the team We are building the Platform (From scratch) to enable - 1. Single Source of truth that abstracts all data nuances. 2. Enable Self Serve (via Aggregation Dashboarding) 3. Power Advanced Analytics projects 4. Provide meaningful and implementable insights to Buisness - 1+ years of data analytics or automation experience - 1+ years of capacity planning, operations planning, business analysis or similar experience - Bachelors degree - Knowledge of data pipelining and extraction using SQL - Knowledge of SQL and Excel at a moderate or advanced level - Experience with data mining tools like SQL, SAS, SPSS, or similar - Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions

Job Title Cloud Ops FinOps Specialist Job Description Job title: Cloud Ops FinOps Specialist In this role, you have the opportunity to: - Be part of the CloudOps team accountable for the stability, quality, performance and costs of service delivery for the applications operated in public datacenters infrastructure, both physical and virtual environments. - Play a key role for building an operational methodology to monitor, supervise datacenter costs, improving cost effectiveness by means of proactive management of all technical methodologies involved in cloud exploitation. - Operate, in the light of HSI offering, by securing the proper provisioning costs of AWS services mix, as the relevant infrastructure costs driver of the SaaS. Job Responsibilities: Handles analysis of complex datasets using advanced statistical methods and machine learning techniques to uncover deep insights that inform strategic business decisions and operational efficiencies. Creates sophisticated predictive models and data visualizations, utilizing tools like Python, R, and Tableau, to forecast trends, patterns, and anomalies for proactive decision-making, working under limited supervision. Develops and implements robust data storage architectures, ETL processes, and data cleansing methodologies to ensure data accuracy, integrity, and accessibility across enterprise systems. Collaborates closely with senior management and cross-functional teams to prioritize and execute data analytics projects aligned with organizational objectives and strategic initiatives. Consults on data architecture design and optimization, providing expertise in data management, storage solutions, and scalability to enhance overall system performance. Ensures adherence to global data privacy regulations (e.g., GDPR, HIPAA) through rigorous data governance practices and security protocols in all data analytics initiatives. Conducts in-depth statistical analyses and trending procedures, documenting methodologies and findings to support regulatory compliance and business transparency. Provides technical guidance during regulatory audits, explaining statistical rationale and data validation processes to ensure compliance and maintain data integrity through all analytical operations. Drafts proposals for new analytics initiatives, evaluating business opportunities and recommending data-driven strategies to optimize processes and drive continuous improvement. Supports operational decision-making by assessing insights and analytics solutions, identifying opportunities for optimization, and implementing enhancements to achieve business objectives. Minimum required Education: Bachelors / Masters Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent. Minimum required Experience: Minimum 6-8 years of experience in data analytics and modeling or equivalent with background in cloud architecture and core software engineering domains In this role, you have the opportunity to: - Be part of the CloudOps team accountable for the stability, quality, performance and costs of service delivery for the applications operated in public datacenters infrastructure, both physical and virtual environments. - Play a key role for building an operational methodology to monitor, supervise datacenter costs, improving cost effectiveness by means of proactive management of all technical methodologies involved in cloud exploitation. - Operate, in the light of HSI offering, by securing the proper provisioning costs of AWS services mix, as the relevant infrastructure costs driver of the SaaS. Job Responsibilities: Handles analysis of complex datasets using advanced statistical methods and machine learning techniques to uncover deep insights that inform strategic business decisions and operational efficiencies. Creates sophisticated predictive models and data visualizations, utilizing tools like Python, R, and Tableau, to forecast trends, patterns, and anomalies for proactive decision-making, working under limited supervision. Develops and implements robust data storage architectures, ETL processes, and data cleansing methodologies to ensure data accuracy, integrity, and accessibility across enterprise systems. Collaborates closely with senior management and cross-functional teams to prioritize and execute data analytics projects aligned with organizational objectives and strategic initiatives. Consults on data architecture design and optimization, providing expertise in data management, storage solutions, and scalability to enhance overall system performance. Ensures adherence to global data privacy regulations (e.g., GDPR, HIPAA) through rigorous data governance practices and security protocols in all data analytics initiatives. Conducts in-depth statistical analyses and trending procedures, documenting methodologies and findings to support regulatory compliance and business transparency. Provides technical guidance during regulatory audits, explaining statistical rationale and data validation processes to ensure compliance and maintain data integrity through all analytical operations. Drafts proposals for new analytics initiatives, evaluating business opportunities and recommending data-driven strategies to optimize processes and drive continuous improvement. Supports operational decision-making by assessing insights and analytics solutions, identifying opportunities for optimization, and implementing enhancements to achieve business objectives. Minimum required Education: Bachelors / Masters Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent. Minimum required Experience: Minimum 6-8 years of experience in data analytics and modeling or equivalent with background in cloud architecture and core software engineering domains Preferred Skills: Data Analysis Interpretation Data Harmonization Processing Data Modeling Data Quality Assurance Statistical Methods Statistical Programming Software Business Intelligence Tools Data Mining Machine Learning Engineering Fundamentals Research Analysis Structured Query Language (SQL) Regulatory Compliance If you re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here .

The Quality Analytics team in GDIA is currently seeking a talented and experienced senior data scientist who can effectively oversee and mentor junior data scientists within the team. This role will involve leading and supporting the analytics team to ensure high-quality data analysis and reporting. If you have a passion for data science and a proven ability to guide and develop junior team members, we encourage you to apply. Preferred Requirements 1+ years of experience with Product Driven Organization (PDO) Model 1+ years of experience leading a team of data scientists in an OEM 2+ years of experience leading an analytic team in a product owner role in an OEM 2+ years of hands-on experience with data modeling, data mining, machine learning algorithms or statistical analysis Demonstrated success in delivering analytics products, with exposure to machine learning and advanced data analysis techniques. Agile/Scrum certification or equivalent experience is a plus. Experience with product lifecycle management tools and analytics platforms. Excellent leadership, communication, and interpersonal skills. Ability to thrive in a fast-paced, collaborative, and innovative environment. Minimum requirements 2+ years of experience working in a team environment, supporting customer/end users. 2+ years of hands-on experience in Python programming for data analysis and machine learning. 2+ years of experience implementing and maintaining successful cross functional demand and integration management. 2+ years of experience with agile and lean workflow management methodologies (e.g., Kanban) 2+ years of experience with project management tools to manage user requirements, stories, and tracking the delivery process (Confluence/Jira or Rally) 2+ years of experience with developing and delivering data products to support analytic applications.

Job_Description":" Understand BI/reporting-related requirements. Design and develop Reporting or Dashboards. Work closely with DBAs to understand data flow and apply optimized data structures to BI/Reporting for performance tuning. Develop and implement programs and scripting to support BI/Reporting to help front-end developers. Suggest, share, and implement best practices among team members. Develop, build, and deploy BI solutions or Reporting tools. Maintain, support, evaluate, and improve existing BI/Reporting analytics platforms. Create tools to store data (e.g., OLAP cubes). Conduct unit testing and troubleshooting. Develop and execute database queries and conduct analyses. Create visualizations and reports for requested projects. Map various BI/Reporting databases and documentation used in the organization. Support customers to resolve any issues. Requirements Proven 6+ years of experience as a BI/Report Developer. Proven abilities to take initiative and be innovative. A clear understanding of data integration tools, OLAP, ETL/ELT processes, warehouse architecture/design (e.g., dimensional modeling), and data mining. Microservices architecture is a must. Familiarity with Cloud-based BI/Reporting environment (e.g., Amazon Web Services, Microsoft Power BI, Snowflake, or similar services). Knowledge of Amazon products (like QuickSight), the Hadoop platform, and Apache technologies. Hands-on knowledge in C#, Scala, R, Python, DAX, or GraphQL will be preferable. Familiarity with reporting technologies on different platforms (e.g., SQL queries, SSRS, SSIS, MongoDB, MySQL, PGDB). An analytical mind with a problem-solving aptitude. BSc/BA in Computer Science, Engineering, or relevant field. ","

As a Senior Engineer in PayPal s Enterprise AIML Solution team, you will be customer-centric, strategic analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. Your role will involve leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams, guiding them through the intricacies of functional definition, architecture, solution implementation, and integration within complex environments. With a proven track record in technical leadership, you'll be instrumental in driving high-quality products and ensuring the successful delivery of projects while effectively leading and mentoring team members. Your day-to-day Design, Build, optimize , fine-tune Generative AI/LLM models/AI Solutions that can be integrated with numerous applications, support thousands of tenants, and operate at scale in production to support various PayPal AI Personalization initiatives Perform performance evaluations of the LLM models, Implement LLMOps processes to run the end-to-end lifecycle of LLMs Deploy, monitor , and maintain Machine Learning models and build AI Products in production environments, ensuring optimal performance and reliability. Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices . Drive innovation by researching and incorporating state-of-the-art machine learning techniques, tools, and frameworks into the platform . Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner Mentor team members, provide technical guidance, and foster a culture of collaboration, innovation, and continuous learning . Qualifications: Masters / bachelors in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technical expertise in one or more of the above-mentioned areas or equivalent practical experience. Strong background in deep learning techniques, particularly in NLP and Vision Expertise in applying LLMs, prompt design, and fine-tuning methods Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models. Expert in multiple Programming/scripting languages, ie, Python, Java, Scala , SQL , NoSQL (like HBase, Redis, Aerospike) Good understanding of distributed systems, data streaming, complex event Processing, NoSQL s olutions for creating and managing data integration pipelines for batch and Real Time data needs. Expertise in machine learning libraries/frameworks such as TensorFlow, PyTorch , scikit-learn, etc. Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience in Azure is a plus Stay up to date with the latest advancements in AI/ML technology and industry trends and leverage this knowledge to enhance the platforms capabilities Strong communication , listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner Expertise in Big Data technologies such as Hadoop, Spark, HBase, Kafka. Preferred Prior experience in Content Understanding, enrichment, entity resolution or knowledge graph Experience developing Gen AI applications/services for sophisticated business use cases and large amounts of unstructured data. Strong background in MLOps and experimentation frameworks

The Anomaly Detections Platforms ADP is a global team tasked with the role of developing data driven fraud detection solutions to identify abnormal transaction trends and work closely with Risk Operations Center ROC to support in fraud mitigation. This position will support the Anomaly Detection Platforms team drive several of Visa s most important and high-visibility fraud deterrence projects within Global Risk s Payment Fraud Disruption PFD team. This fast-paced team of technology experts identifies and supports mitigating attacks targeting the global payment ecosystem. Key measures of success for this position include the ability to develop and automate key attack intelligence capabilities that optimize detection of fraudulent anomalies. This role s initiatives will lead to the measurable decrease of cybercrime and fraud attacks impacting Visa clients. The primary responsibilities for this role will include Lead the design and production deployment of new and advanced techniques to detect and prevent cybercrime. Manage fraud alerting taxonomies and thresholds that optimize true positive detections and fraud scheme coverage. Collaborate with Technology partners to enhance fraud detection capabilities for improved insights and pattern detection. Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as we'll as use of packaged tools based on machine learning, data mining and statistical techniques. Be an expert at getting to the root of a problem, defining business objectives and formalizing data requirements - especially in a fast paced, fluid environment. Develop real-time and batch processed customized monitoring solutions to enable clients take proactive action to fraud threats. Analyze complex financial data to uncover patterns, anomalies, and insights that support risk assessment and fraud identification. Engage with stakeholders to understand client specific risk and fraud challenges, providing expert guidance and tailoring solutions to their needs. Continuously question and consider new techniques to stay ahead of organized cyber criminals and fraudsters. SECONDARY RESPONSIBILITIES Collaborate with Payment Systems Intelligence and Risk Operations Center ROC teams to recognize and implement measures to identify and disrupt new fraud and cybercrime threats to the clients enrolled in the Fraud Services program. Provide intelligence and technical analysis support to the Global Risk organization to further protect the payment ecosystem. Basic Qualifications 8 or more years of work experience with a Bachelor s Degree or an Advanced Degree e.g. Masters, MBA, JD, MD, or PhD Preferred Qualifications 8 or more years of work experience with a Bachelor s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Ability to conduct complex analytical functions by performing fraud assessments and analyzing criminal methods. Knowledge of transactions, systems processing transactions and overall transaction process. Proficiency in Python, SQL and Shell for data manipulation, analysis, and visualization. Extensive experience with data preprocessing, feature engineering, and model optimization for risk and fraud detection. Adaptable and able to work well in a fast paced, team-oriented environment. 3 years experience in payment card or information security industry, investigating payment card, cybercrime fraud red team testing or bachelor s degree in strong technical area with some real-word experience (e.g., internship) Proficiency with drafting detailed, technical reports Ability to respond after-hours, weekends, and holidays to major fraud events. Passion for fraud schemes and cybercrime investigations Good interpersonal, facilitation, and demonstrated emerging leadership skills. Able to operate at an advanced level of written and spoken communication, write and speak effectively with impact. Capable of delivering presentations and comfortably interacting with all levels of Visa and client management Moderate understanding of networks, risk management, network security, digital forensics, and security operations High level of self-motivation and initiative Direct experience with VisaNet, ISO 8583, transaction routing, VCMS, Base I and Base II platforms. Concepts, terms, processes, policy, and implementation of information security Intelligence databases and analytical tools or similar intelligence reporting systems Analysis of cyber threat intelligence and fraud intelligence.

Advertising at Amazon is a fast-growing, multi-billion dollar business. It spans desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third-party publishers; and extends across the US, EU, APAC, and an increasing number of international geographies. The Supply Quality (SQ) group operates across all Amazon Advertising products to provide invalid traffic (IVT) filtration, viewability prediction and measurement, and content adjacency policy enforcement capabilities. Within SQ, Traffic Quality (TQ) concerns itself with the validity of ad traffic ie if the ad event (bid, impression or click) is generated from a human user or bot (invalid) and the TQ Analytics team focuses on building key metrics and reporting, root cause analysis and critical stakeholder communications on changing trends and patterns for this area. The TQ Analytics team also focuses on building heuristic based models and techniques to address IVT and ad fraud. As a Business Intelligence Engineer (BIE) for TQ Analytics, you will play a thought leadership role in defining interventions that help achieve business objectives. You are right, a lot. You are independent, able to work on multiple related projects and always on the lookout to optimize the information flow process. You will collaborate with Scientists and Engineers to analyze trends and analyse statistical models that detect and filter IVT. Design, implement and support a scalable and reliable information model for storing, processing, analyzing and reporting on data across Amazon properties and partners. Define and implement data quality guardrails and monitoring mechanisms as the custodian of data quality Compose and present measurable and actionable insights into complex business problems to senior leadership. Automate with every iteration to enable self service by others on the team and to continuously expand on your ability to dive deep. Perform exploratory data analysis and apply statistical techniques to help Scientists build models that detect and filter IVT. Define and implement metrics that continuously evaluate models. Understand a broad range of Amazon s data resources and know how, when, and which to use and which not to use. The role has a significant analytical requirements with potential to apply statistical and ML techniques. - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc and using databases in a business environment with large-scale, complex datasets

Apply strategic and data analytics skills to solve problems for the PayPal Risk team. Work with stakeholders across different teams such as Product, Platform, Machine Learning, Operations to drive strategic initiatives. Meet our team: The Global Risk Automation Strategy (GRAS) team focuses on driving automation initiatives for the risk back office. We work closely with the Front end strategy, consumer and seller risk operations, product, and modeling teams to identify automation opportunities to drive efficiency. Job Description: As a Data Scientist, you will apply your strategic and analytical skills to solve challenging business problems. You will team up with world-class professionals to identify actionable insights that ultimately impact the bottom line of the company. We work in a space that looks deeply into emerging fraud trends to come up with analytical solutions to fight these fraud trends and we also work on business enablement opportunities that fuel growth and drive efficiencies within the organization Your day-to-day Provide analytical insights into problems, emerging trends and changes to portfolio Drive projects end to end from ideation to implementation in a time sensitive and efficient manner Identify new opportunities and continuous improvement to contribute to the team s KPIs and targets Case rating: Evaluate each lead and case for risk levels to determine the urgency, importance and need for manual reviews with a goal of Increasing case automation using various risk factors and exposure on a given account, additional profile or transactional information, adoption of Document Intelligence solution etc Ensure that we balance automation goals with loss. Partner with GADS and front end strategy team for agent decision and trend-based feedback model to improve automation quality. Work closely with business partners and stakeholders to determine how to design analysis and measurement approaches that will significantly improve our ability to understand and address emerging business issues Effectively managing relevant stakeholders through the lifecycle of a project by effectively understanding the various needs, priorities and perspectives in order to drive for a solution Understand new products, features and trends and their impact to back office reviews. Identifying present or future gaps in the team s existing reporting and tools suite Providing regular updates to leadership, product and other stakeholders that will simplify and clarify complex concepts and the results of analyses effectively with emphasis on the actionable outcomes and impact to business What do you need to bring Solid technical / data-mining skills and ability to work with large volumes of data; extract and manipulate large datasets using common tools such as SQL, SAS, Hadoop, or other programming/scripting languages (Python, R, etc) to translate data into business decisions/results Be data-driven and outcome-focused Must have good business judgment with demonstrated ability to think creatively and strategically Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work Bachelors Degree in a quantitative discipline (Economics, Engineering, Computer Science, Math, Statistics) 4+ years experience in analytics Proficiency using SQL and querying relational databases Experience in at least one statistical programming language (SAS, R, Python) Experience in predictive modelling techniques such as Regression, Classification, Time series forecasting, NLP, etc Experience with structuring analyses to solve business problems using data and analytics tools and techniques Experience with project/program management Experience in Fintech/Banking/Credit/Payment industry a strong plus

Summary The Functional Lead s key objective is to partner with Ethics, Risk and Compliance (ERC), Legal and other functions/divisions from design to data visualization to deliver Legal and Compliance Data Analytics and Reporting solutions. The role integrates internal and external data with behavioral science expertise to integrates optimize risk management and driving behaviors to ensure compliance. The role works across various strategic initiatives with concerned leadership team to conceptualize analytical models and develop new statistical models and insights leveraging vast sources of legal and compliance data. The role also contributes to creation of overall data strategy of LCS Practice and its implementation. About the Role Major accountabilities: Act as overall inspiring leader within Data Analytics domain working collaboratively with Capability Groups within LCS and Ethics, Risks and Compliance (ERC) colleagues to co-create solutions Work consultatively to advise colleagues of right Data Strategy and define roadmap to effectively leverage data and develop insights. Build on vast sources of data to co-create solutions to provide new insights and create analytical models which enables asking right questions to effectively manage risks and drive behaviors to ensure compliance across Novartis ensuring alignment with company branding and compliance standards. Use several different techniques to create Data Strategies/Solutions incorporating computer science, predictive analytics, statistics, machine learning, Natural Language Processing (NLP), and data visualization and parse through extensive datasets to establish solutions to problems in discussion with Service Groups and SMEs. Own execution of overall Data Strategy and work closely both with the team of data analysts and service group experts. Mentor and drive team members to deliver as per expectations. Mentor team members and build capability in Data Science, Analytics and Insights contributing across Legal Compliance Solutions practice Drive innovation in data visualization and design, using the tools and technologies, and applying design thinking principles to create intuitive and user engaging experiences. Along with team of data analysts design, develop and deliver self-service analytic-applications (descriptive, predictive and prescriptive) and conceptualize new dashboards which drive insights and behaviors. Conceptualize and design the Predictive analytics / AI / Machine Learning solutions for the Data sciences projects for the partners within ERC and/or legal domains. Conceptualize and create high-fidelity design and prototypes for AI utilization for the Data Sciences projects for the stakeholders within ERC and/or legal domain. Enhancing the effectiveness and efficiency through value driven solutions. Build processes and methodologies to fast access to data insights, analytics models, automation, artificial intelligence and Machine Learning. Act as strong interface between IT, LCS Service Groups, Data Analysts and Business units/functions to drive various projects to ensure seamless execution and stakeholder alignment. Essential Requirements: Masters/bachelors Degree in from reputed institute 15+ years of experience in Data Analytics or related fields with specific experience of producing insights for executive Management and building statistical models for addressing business issues. Experience in Risk or Compliance Analytics programs along with Pharma, CRO, and Life Science industry experience would be preferred. Demonstrated delivery of business outcomes using digital technology / Big Data having sound technical knowledge in Data Mining, Big Data Management, Data Visualization, Python, R Ability to work with a multi-functional team in a matrix environment Expertise in designing data strategy for a function and technology solution development Ability to work independently, in teams, manage and coordinate projects; Project / Program Manager or Business / IT consulting at senior level

As a Data Science expert, you will join our Modeling Simulation Data Science team in the Translational Medicine Unit and help us to unleash the power of data science for drug discovery. You will bring your curious, innovative, and collaborative mindset to effectively harness the absorption, distribution, metabolism, excretion (ADME) and pharmacokinetics (PK) / pharmacodynamics (PD) data generated within our department and master the use of our in-house applications and state-of-the-art machine learning (ML) methods and statistical techniques to accelerate drug design. Our group is growing, and we hope you will join our dynamic, enthusiastic and forward-thinking team Your responsibilities will include, but are not limited to: Act as the MS Data Science representative on drug discovery and lead optimization programs by collaboratively contributing to project team discussions, using dry- and wet-lab data to provide scientific and strategic input to guid e decisions such as compound progression and in vivo study prioritization Master and advocate the use of in silico models and in-house tools , applications and data to accelerate and streamline decision making Apply data mining to understand relationships between structure and molecular properties for programs involving small molecules, peptides, RNAs Identify opportunities to create custom, project- or modality-specific in silico models and data strategy , and contribute to their development and implementation Proactively seek opportunities to increase the impact and awareness of MS Data Science through clear and concise communications with internal and external audiences or various expertise M onitor and stay up to date on developments within the field of AI/ML applied to ADME and PK/PD, and data science methods applied to drug discovery Essential requirements: Advanced degree in life sciences with multidisciplinary background (cheminformatics, bioinformatics, biomedical engineering, AI/ML in drug discovery or life sciences , data science , computational biology , computational chemistry or related field ) PhD with 2+ years or MSc with 6+ years of relevant work experience with deep knowledge on drug discovery and development processes Experience in the application of (reproducible) data science methods , tools and practices to drug discovery Strong understanding of statistics , machine learning and deep learning Demonstrated knowledge of data visualization and exploratory analysis Solid skills in programming languages, ie Python and R, including software development practices such as version control, testing, documentation, etc . Knowledge of machine le a rning/deep learning libraries such as scikit-learn, keras or pytorch Excellent communication skills and ability to translate analytical concepts for diverse audience and stakeholders (English is our primary language) Desirable : Expertise with discovery-stage PK modeling for small molecule compounds (eg, relating ADME properties to in vivo PK; scaling of preclinical PK to human) is a plus Experience with generative algorithms and explainable AI Languages : English.

Summary -To plan and lead Category initiatives for a clearly defined sub-category globally OR one category regionally OR all categories in one country OR multiple cross-divisional categories in one country; to develop the sub-category strategy as part of the wider Category Strategy; to lead proactive sourcing projects, specification definition and demand management, as we'll as manage sub-category-specific supplier performance and innovation activities. About the Role Position Title: Global Category Manager, Clinical RD Location : Hyd-india #LI Hybrid Job Purpose: The Global Category Manager, responsible to manage Clinical functional services Categories in space of Data Management, Statistical Programming, Trial Monitoring, Regulatory, Pharmacovigilance Medical Writing, plans and leads all strategic Procurement activities within the assigned categories, at a global level and develops proposals for strategic sourcing decisions. The role provides high value procurement solutions to the business and category strategies; supports third party vendor selection, vendor development, technology management and supplier performance measurement activities. The Global Procurement Category Manager ensures best-in-class delivery of external services in support of functions and to realize year-on-year productivity improvements, cost savings, and process improvements working in close collaboration with Business Stakeholders. Your responsibilities include but not limited to: The role is responsible for all Novartis Global spend for assigned Global Clinical Operations functions . These services have FSP long term engagements with goals for value creation and continuous improvement. Specifically, you will be responsible to develop sourcing strategies for clinical study delivery supporting Novartis development pipeline. Establish strategic category plans tailored to assigned categories/sub-categories, in congruence with organizational objectives. Lead the sourcing, negotiation and contracting to leverage buying power and recommend appropriate Procurement strategies and tactics to obtain desired results Support/Lead the design and implementation of executive governance around preferred suppliers the objective of which is to ensure performance delivery, continuous improvement, and access to innovation from supplier arrangements to achieve value contribution targets on a global basis Negotiate complex Commercial Terms and masterservices Agreements working collaboratively with Business Stakeholders, Legal, Data Privacy and Supplier Quality Accountable for a proportion of the overall Clinical category savings target and leads proactive category projects, spanning sourcing projects, demand management and process improvement, as we'll as managing sub-category specific supplier performance and innovation activities to support the delivery of the global procurement targets. Provide financial and business analysis (eg Data mining of supplier spend from Procurement and Financial Systems, output analysis and interpretation), supporting global market intelligence in the category area and acting as the focal point for category subject matter expertise to the global business and procurement community. Support in the indirect management of Clinical Sourcing Managers by assisting in their quarterly and year end reviews, provide support in establishing their goals within the category and assist in their development. Essential Requirements: Successful project execution by providing all external solutions in time / at the required quality / within budget as verified by the business. Value Delivery - optimized Total Cost of Ownership and cost productivity/savings in compliance with approved Novartis Finance Productivity guideline. Successful and measurable execution on efficiency programs Measurable and continuous process improvement compliance assurance. Understanding the Procurement KPIs related to market insights, price and demand development as we'll as procurements performance. Compliance with all GxP relevant processes Strong project management and/or other leadership experience. Knowledge of Global RD Clinical CRO market What you'll bring to the role: masters Degree/other advanced degree in Lifesciences or Pharmaceutical sciences MBA degree is preferred A minimum of 12 years Core experience in strategic negotiations, alliances, and operations in RD at a pharmaceutical company or a contract research organization. Emphasis on business, experience with clinical processes and activities and associated ESP services, with excellent understanding of study management and overall integration of clinical data system and processes

Job Description Summary As a technical lead in PayPal s Enterprise AIML Solution team, you will be customer-centric, strategic analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. Your role will involve leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams, guiding them through the intricacies of functional definition, architecture, solution implementation, and integration within complex environments. With a proven track record in technical leadership, youll be instrumental in driving high-quality products and ensuring the successful delivery of projects while effectively leading and mentoring team members. Job Description Meet our team We are on a mission to revolutionize commerce globally by connecting consumers and merchants with personalized shopping experiences. We are seeking a highly motivated, self-starter Principal Engineer to join our AI/ML Solution Engineering team to help achieve this mission. This role will help shape the next generation of checkout at PayPal impacting over 400+ million consumers and 30+ million merchants worldwide by creating AI/ML foundations and capabilities that deliver a delightful and personalized shopping and checkout experience. Your day-to-day As one of the most senior engineers in the team, you will be the go-to person for any technical issues and decisions internally, and partner with other teams and partners representing the team within a globally distributed org. Lead and mentor teams of ML Engineers and Software Engineers in building scalable AI systems that combine state-of-the-art models with robust engineering practices. Design, Build, optimize , fine-tune Generative AI/LLM models/AI Solutions that can be integrated with numerous applications, support thousands of tenants, and operate at scale in production to support various PayPal AI Personalization initiatives Deploy, monitor , and maintain Machine Learning models and build AI Products in production environments, ensuring optimal performance and reliability. Perform performance evaluations of the LLM models, Implement LLMOps processes to run the end-to-end lifecycle of LLMs Demonstrate effective communication skills by clearly articulating complex technical concepts to both technical and non-technical stakeholders. Facilitate seamless collaboration with cross-functional teams from Business and Technology domains to align project goals, gather requirements, provide technical support, and drive successful project outcomes. What do you need to bring Qualifications Masters / bachelor s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technical expertise in one or more of the above-mentioned areas or equivalent practical experience . Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models . Design Architect directions on GenAI (Prompt Engineering, Orchestration, LLMs tuning) Strong background in deep learning techniques, particularly in NLP and Vision Expertise in applying LLMs, prompt design, and fine-tuning methods Experience developing Gen AI applications/services for sophisticated business use cases and large amounts of unstructured data. Expert in multiple Programming/scripting languages, i.e., Python, Java, Scala , SQL , SQL, NoSQL (like HBase, Redis, Aerospike) Good understanding of distributed systems, data streaming, complex event Processing, No SQL solutions for creating and managing data integration pipelines for batch and Real Time data needs. Proficiency in machine learning libraries/frameworks such as TensorFlow, PyTorch , scikit-learn, etc. Expertise with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience in Azure is a plus Strong communication , listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner Demonstrated leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential Stay up-to-date with the latest advancements in AI/ML technology and industry trends and leverage this knowledge to build enhanced capabilities . Expertise in Big Data technologies such as Hadoop, Spark, HBase, Kafka. Preferred Prior experience in Content Understanding, enrichment, entity resolution or knowledge graph Strong background in MLOps and experimentation frameworks Extensive experience with concurrent, parallel, and distributed computing, including performance tuning and optimization for large-scale applications Additional Job Description Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Job Description Summary As a Senior Engineer in PayPal s Enterprise AIML Solution team, you will be customer-centric, strategic analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. Your role will involve leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams, guiding them through the intricacies of functional definition, architecture, solution implementation, and integration within complex environments. With a proven track record in technical leadership, youll be instrumental in driving high-quality products and ensuring the successful delivery of projects while effectively leading and mentoring team members. Job Description Meet our team We are on a mission to revolutionize commerce globally by connecting consumers and merchants with personalized shopping experiences. We are seeking a highly motivated, self-starter Senior Engineer to join our AI/ML Solution Engineering team to help achieve this mission. This role will help shape the next generation of checkout at Pa yPal impa cting over 400+ million consumers and 30+ million merchants worldwide by creating AI/ML foundations and capabilities that deliver a delightful and personalized shopping and checkout experience. Your day-to-day Design, Build, optimize , fine-tune Generative AI/LLM models/AI Solutions that can be integrated with numerous applications, support thousands of tenants, and operate at scale in production to support various PayPal AI Personalization initiatives Perform performance evaluations of the LLM models, Implement LLMOps processes to run the end-to-end lifecycle of LLMs Deploy, monitor , and maintain Machine Learning models and build AI Products in production environments, ensuring optimal performance and reliability. Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices . Drive innovation by researching and incorporating state-of-the-art machine learning techniques, tools, and frameworks into the platform . Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner Mentor team members, provide technical guidance, and foster a culture of collaboration, innovation, and continuous learning . What do you need to bring Qualifications Masters / bachelor s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technical expertise in one or more of the above-mentioned areas or equivalent practical experience. Strong background in deep learning techniques, particularly in NLP and Vision Expertise in applying LLMs, prompt design, and fine-tuning methods Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models. Expert in multiple Programming/scripting languages, i.e., Python, Java, Scala , SQL , NoSQL (like HBase, Redis, Aerospike) Good understanding of distributed systems, data streaming, complex event Processing, NoSQL s olutions for creating and managing data integration pipelines for batch and Real Time data needs. Expertise in machine learning libraries/frameworks such as TensorFlow, PyTorch , scikit-learn, etc. Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience in Azure is a plus Stay up to date with the latest advancements in AI/ML technology and industry trends and leverage this knowledge to enhance the platforms capabilities Strong communication , listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner Expertise in Big Data technologies such as Hadoop, Spark, HBase, Kafka. Preferred Prior experience in Content Understanding, enrichment, entity resolution or knowledge graph Experience developing Gen AI applications/services for sophisticated business use cases and large amounts of unstructured data. Strong background in MLOps and experimentation frameworks Additional Job Description Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Are you passionate about building business insights that drive decision making at the highest levelsDo you want to be a part of a fast-paced, ambiguous environment and contribute to Amazon Translation Services In this role you will be responsible for solving complex and ambiguous data and metric problems. You will use latest AWS provided Data Analytics and GenAI tools (such as Quick-sight, Amazon Q) to provide business metrics for TS org customers and stakeholders. You should have a track record of end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment. You should be able to work on complex initiatives, deal with ambiguity. You will be required to work with senior leaders, data engineers, data scientist, SDEs, operations, program managers and other data teams As a business intelligence engineer, you will/may: Be highly data driven, resourceful, customer-obsessed and team oriented Use latest AWS provided data analytics and tools such as Quicksight, Amazon Q, Redshift, Glue etc Design, develop, and implement scalable, automated processes for data extraction, processing, and evaluation Define data driven approaches and metrics strategy to uncover new insights Have a passion for sourcing, manipulating, and visualizing data to tell business stories Be able to clearly communicate strategic findings and recommendations Translate complex, technical concepts into business terms and vice versa Work with engineering and data teams to support the development of tools and dashboards - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Your tasks As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio. You Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners. Create and execute a global Data Science/Data Architecture strategy based on the overall CT Technology strategy together with the CFO IT Data Science team. Portfolio Management - Define the Process of Portfolio and bring it into execution Ideation Facilitator: Explore with Business Areas to keep the Use case pipeline filled continuously Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions. Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities. Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results. Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis. Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling. Establish and maintain partnerships with internal and external partners. Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness. Ensure data quality and integrity through rigorous validation and testing procedures. Mentor and train junior data scientists to build a strong and capable team.