861 Data Mining Jobs - Page 11

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Scientist Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Our Team: As consumer preference for digital payments continues to grow, ensuring a seamless and secure consumer experience is top of mind. Optimization Soltions team focuses on tracking of digital performance across all products and regions, understanding the factors influencing performance and the broader industry landscape. This includes delivering data-driven insights and business recommendations, engaging directly with key external stakeholders on implementing optimization solutions (new and existing), and partnering across the organization to drive alignment and ensure action is taken. Are you excited about Data Assets and the value they bring to an organization? Are you an evangelist for data-driven decision-making? Are you motivated to be part of a team that builds large-scale Analytical Capabilities supporting end users across 6 continents? Do you want to be the go-to resource for data science & analytics in the company? The Role: Work closely with global optimization solutions team to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support data insights and analytical needs across products, markets, and services The candidate for this position will focus on Building solutions using Machine Learning and creating actionable insights to support product optimization and sales enablement. Prototype new algorithms, experiment, evaluate and deliver actionable insights. Drive the evolution of products with an impact focused on data science and engineering. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Perform data ingestion, aggregation, and processing on high volume and high dimensionality data to drive and enable data unification and produce relevant insights. Continuously innovate and determine new approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations. Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions. All about You A superior academic record at a leading university in Computer Science, Data Science, Technology, mathematics, statistics, or a related field or equivalent work experience Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis Strong analytical skills with track record of translating data into compelling insights Prior experience working in a product development role. knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. proficiency in using Python/Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), and SQL to build Big Data products & platforms Experience with Enterprise Business Intelligence Platform/Data platform i.e. Tableau, PowerBI is a plus. Demonstrated success interacting with stakeholders to understand technical needs and ensuring analyses and solutions meet their needs effectively. Ability to build a strong narrative on the business value of products and actively participate in sales enablement efforts. Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard s guidelines.

Dalmia Bharat Group is looking for Mining Engineer to join our dynamic team and embark on a rewarding career journey Geological Analysis: Conduct detailed geological surveys and assessments to identify potential mineral and resource deposits Use various tools and technologies to analyze geological data and determine the quantity and quality of minerals present in a given location Feasibility Studies: Perform feasibility studies to evaluate the economic viability and environmental impact of mining projects This includes considering factors such as market demand, production costs, regulatory requirements, and sustainability Mine Planning and Design: Develop mine plans and designs that maximize resource recovery while ensuring safety, efficiency, and environmental responsibility This involves determining the best mining methods, equipment, and infrastructure required for the project Safety and Environmental Compliance: Ensure mining operations adhere to safety regulations and environmental guidelines Implement measures to minimize environmental impacts and promote sustainable mining practices Project Management: Oversee the implementation of mining projects, including coordinating with various stakeholders, managing budgets, and scheduling activities to meet production targets Equipment Selection and Maintenance: Recommend appropriate mining equipment and machinery for different mining operations Supervise equipment maintenance and ensure proper functioning to optimize productivity and prevent breakdowns Risk Assessment and Mitigation: Identify potential risks associated with mining activities and develop strategies to mitigate them This includes safety hazards, environmental risks, and potential geological challenges Monitoring and Reporting: Regularly monitor mining operations, production rates, and environmental compliance Prepare reports and present data to management and regulatory bodies as required Research and Innovation: Stay updated on the latest mining technologies, practices, and industry trends Introduce innovative solutions to improve mining processes and optimize resource recovery Community Engagement: Engage with local communities and stakeholders to address concerns and foster positive relationships Implement social responsibility initiatives to support local development and sustainability Legal and Regulatory Compliance: Ensure mining operations comply with all applicable laws, regulations, and permits Work with regulatory authorities to obtain necessary licenses and approvals for mining activities Health and Safety: Prioritize the health and safety of mining personnel by implementing safety protocols, conducting training programs, and promoting a safety-oriented culture

As a Senior Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results 5+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar field Must have experience e

As a Lead Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar field Must have experience e

Job Title Data Analyst Job Description Summary This role focuses on developing advanced analytics systems, uncovering growth opportunities through data analysis, and creating insightful reports and visualizations. It will involve close collaboration with managers to understand business needs, define KPIs, and deliver actionable insights that enhance performance and efficiency. Key responsibilities include data mining, predictive modeling, system evaluation, and maintaining robust data infrastructure to support strategic decision-making. Work closely with the Program manager (s) and department heads to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity Create and maintain rich insights to facilitate cross sell and upsell decisions through deep data mining Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution Develop and maintain databases by acquiring data from primary and secondary sources Providing technical expertise in data storage structures, data mining, and data cleansing. Build predictive analysis and churn analysis to impact revenue enhancement and retention INCO: Cushman & Wakefield

Associate, Product Operations, NPS Prism Title: Associate, Product Operations Company Profile: NPS Prism is a market-leading, cloud-based CX benchmarking and operational improvement platform owned by Bain & Company. NPS Prism provides its customers with actionable insights and analysis that guide the creation of game-changing customer experiences. Based on rock-solid sampling, research, and analytic methodology, it lets customers see how they compare to their competitors on overall NPS , and on every step of the customer journey. Launched in 2019, NPS Prism has rapidly grown to a team of over 200, serving dozens of clients around the world. While NPS Prism is its own company, NPS Prism is 100% owned by Bain & Company, one of the top management consulting firms in the world and a company consistently recognized as one of the world s best places to work. We believe that diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then create an environment where you can become the best version of yourself and thrive professionally and personally. Position Summary: NPS Prism has experienced tremendous growth as a standalone software and data business over the past few years and is making the leap from being a consulting-led business to a technology-led business. Given that shift, we are looking to build our team with world-class team members to help drive business growth to its full potential in this next phase. This is a great opportunity to help build the largest startup owned by Bain & Company and take NPS Prism into the future. Key Responsibilities: Independently owns the workstreams assigned to the individual and develops client ready visualization dashboards using tools like Tableau with minimum guidance Works with multiple stakeholders, across instruments and workstreams to provide expertise in data management Provides structured support to junior team members, including helping them understand tools, logic flows, and standard work practices. Builds reusable capabilities and templates that improve team efficiency and scalability, ensuring that they are well documented and across service lines Analyze the data using tools like SQL, Alteryx, and Databricks. Design and execute new benchmarking survey instruments, including assessing data needs and designing the primary research surveys and sample specification Respond to onshore team/client questions around the data and insights Translates complex technical concepts such as screener logics, dashboard workflows, and research methodologies into clear explanations for internal teams and client facing discussions Provide ongoing support for subscription customers, such as additional data cuts and responding to questions about the data/methodology with precision and speed Support commercialization efforts, including conducting data-driven analysis for proposals, building custom outputs, and conducting product demos with prospective clients Required Qualifications, Experience & Skills: Education: Required: Graduate/post graduate from top-tier institute or have pursued a statistical/analytical course from a tier 1 university Preferred: Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research. Experience 2+ years of experience in areas related to Data Management, Business Intelligence or Business Analytics. Hands-on experience in managing end-to-end customer surveys, data analysis and visualizations Technical Skills Extensive hands-on experience with Tableau, with strong command of dashboard design, interactivity, and performance optimization Proven experience using Alteryx for data prep, transformation, and validation at scale. Proficient in applying statistical and data mining techniques to derive meaningful insights from customer feedback and survey data. Comfort with SQL and Python (preferred), especially for data manipulation, automation, or analytics tasks Other Skills: Proactive problem-solver with a strong sense of ownership and attention to detail. Experience mentoring junior team members and contributing to collaborative team culture Excellent interpersonal, written, and verbal communication skills Comfort working in a hybrid or remote environment with distributed teams. Demonstrates resilience and adaptability in navigating change and feedback. Consistently seeks feedback and iterates to improve performance and team outcomes.

As a Business Analyst, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of business intelligence, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate 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 present the insights in concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Use analytics and data mining techniques to solve complex problems and drive business decisions. Employ the appropriate tools, methodologies to discover patterns of risks, abuse and help reduce bad debt Design experiments, test hypotheses, and build actionable models to optimize BRP in a specific country Solve analytical problems, and effectively communicate methodologies and results Build analyses for product launches Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area 1+ years of tax, finance or a related analytical field experience 2+ years of complex Excel VBA macros writing experience Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Experience working with Tableau Experience using very large datasets

*** The role is for 1 year term in Amazon Are you interested in applying your strong quantitative analysis and big data skills to world-changing problems? Are you interested in driving the development of methods, models and systems for strategy planning, transportation and fulfillment network? If so, then this is the job for you. Our team is responsible for creating core analytics tech capabilities, platforms development and data engineering. We develop scalable analytics applications across APAC, MENA and LATAM. We standardize and optimize data sources and visualization efforts across geographies, builds up and maintains the online BI services and data mart. You will work with professional software development managers, data engineers, business intelligence engineers and product managers using rigorous quantitative approaches to ensure high quality data tech products for our customers around the world, including India, Australia, Brazil, Mexico, Singapore and Middle East. Amazon is growing rapidly and because we are driven by faster delivery to customers, a more efficient supply chain network, and lower cost of operations, our main focus is in the development of strategic models and automation tools fed by our massive amounts of available data. You will be responsible for building these models/tools that improve the economics of Amazon s worldwide fulfillment networks in emerging countries as Amazon increases the speed and decreases the cost to deliver products to customers. You will identify and evaluate opportunities to reduce variable costs by improving fulfillment center processes, transportation operations and scheduling, and the execution to operational plans. Major responsibilities include: Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available. Writing SQL queries and automation scripts Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc. Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions. Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds. Develop efficient data querying and modeling infrastructure. Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time. Utilizing code (SQL, Python, R, Scala, etc.) for analyzing data and building data marts 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

Amazon India is seeking highly analytical and detail oriented candidate to join the Consumables Category team in Bangalore. As part of the team, the analyst will analyze business decisions, troubleshoot issues, and communicate the findings effectively across different teams. This role will support regular operations of a part of the E-commerce business. An ideal analyst is one who enjoys discovering and solving complicated problems, can quickly learn complex systems, likes to work with numbers, and takes pride in organizing and communicating his work. 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 Experience with data mining tools like SQL, SAS, SPSS, or similar Knowledge of SQL and Excel at a moderate or advanced level

Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers experience and trust, the Alexa Privacy team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries. An Applied Scientist will be in a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing (NLP) or Computer Vision (CV) related tasks. They will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. They will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Their work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for candidate with strong technical experiences and a passion for building scientific driven solutions in a fast-paced environment. This Senior Applied Scientist should have good understanding of NLP models (e.g. LSTM, transformer based models) or CV models (e.g. CNN, AlexNet, ResNet) and where to apply them in different business cases. They should leverage exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to creating reliable, scalable, and high-performance products. In addition to technical depth, they must possess exceptional communication skills and understand how to influence key stakeholders. This Applied Scientist will be joining a select group of people making history producing one of the most highly rated products in Amazons history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you. This Applied Scientist will lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. They will set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, they will work closely with talented engineers and ML scientists to put algorithms and models into practice. This Applied Scientists work will also directly impact the trust customers place in Alexa, globally. They will contribute directly to our growth by hiring smart and motivated scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need. A day in the life You will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our sensitive contents detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership. About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term sensitive content includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term content refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video. 3+ years of building models for business application experience PhD, or Masters degree and 4+ years of CS, CE, ML or related field experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience using Unix/Linux Experience in professional software development

Skill required: Talent Acquisition- end to end - Talent Identification Designation: Recruiting Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years Language - Ability: English - Advanced About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Improve workforce performance and productivity, boosts business agility, increases revenue and reduces costsOur Recruitment Centre of Excellence supports business in all aspects of talent acquisition. The team works in partnership with recruitment teams to develop and execute tactical sourcing strategies with the aim of generating candidates, creating talent pools and delivering against recruitment and growth targets. Candidates with End to End Recruitment experience - Domestic/International MarketIn Talent Identification and Definition you will be assessing current and future talent needs, identify mission-critical workforces, understand key workforce skills and competencies, and address talent gaps. What are we looking for Adaptable and flexibleAbility to perform under pressureProblem-solving skillsDetail orientationAbility to establish strong client relationship Ability to demonstrate recruitment expertise gained within a corporate in-house or agency environment including:oExperience of building, owning & maintaining talent pools, including our own internal talent pooloExtensive experience in sourcing candidates utilising a variety of methods like Advertising (on-line/off-line), Internet search (data mining), Database search, Social Media / Google Adwords, etc. Expertise in market mapping and research, utilising deep searching techniques Capability to advise on and deliver best practice in candidate attraction methodologies Strong MS Office and Excel skills Strong command on written and verbal English language Proficient with Business Excellence Practice Excellent interpersonal skills - can build effective relationships with internal and external stakeholders at all levels Strong customer orientation - high level of responsiveness to urgent requests or troubleshooting. Resilience and ability to work under pressure Good organizational, prioritization and multi-tasking skills to deliver to deadlines Analytical and problem-solving skills. Demonstrate high levels of confidentiality Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day to day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Please note that this role may require you to work in rotational shifts Qualification Any Graduation

Job Description: Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Designs, develops, implements and maintains business solutions. Works directly with clients and project and business leaders to identify analytical requirements. Requires a bachelors degree in area of specialty and 1-3 years of experience in the field or in a related area. Familiar with standard concepts, practices, and procedures within a particular field. Relies on limited experience and judgment to plan and accomplish goals. Performs a variety of tasks. Works under general supervision. A certain degree of creativity and latitude is required. Typically reports to a supervisor or manager

About LIDAS: LIDAS (Lam India Data Analytics and Sciences) team is responsible to provide best-in-class analytics solutions that help improve business decisions in Global Operations and other business sub-functions across Lam. This Organization, a Center of Excellence (CoE), consists of a high-performing team of experts who collaborate cross-functionally and provide analytics solutions to various business functions to suit their business needs. This team strives to improve the productivity & efficiency of business processes through business analytics, data science & automation projects. The resulting projects help accelerate businesses/stakeholders in decision-making by providing data insights. The team continuously develops the required technical skills and business acumen to help solve complex business problems & Use Cases in the semiconductor, manufacturing, and supply chain domains for the company. Eligibility Criteria: Years of Experience : Minimum 9-12 years Job Experience: Experience with Power Platform (Power Apps, Power Automate & Power BI) Expert in Database and Data warehouse tech (Azure Synapse/ SQL Server/SAP HANA) Data Analysis/Data Profiling/Data Visualization Educational : Bachelor s Degree: Math/Statistics/Operations Research/Computer Science Master s Degree : Business Analytics (with a background in Computer Science) Primary Responsibilities: Ability to interact closely with Business Stakeholder on understanding their business requirements and converting them into opportunity. Leading POCs to create break through technical solutions, performing exploratory and targeted data analyses. Ability to Manage and support existing applications and implementing the best practices on timely Manner. Designs, Develops, and Tests Data Models to import data from source systems to meet Project requirements Effectively analyzes the heterogeneous source data and writes SQL scripts to integrate data from multiple data sources Analyzes the results to generate actionable insights and presents the findings to the business users for informed decision making Understands business requirements and develops dashboards to meet business needs Adapts to the changing business requirements and supports the development and implementation of best-known methods with respect to data analytics Performs Data mining which provides actionable data in response to changing business requirements Migrates data into standardized platforms (Power BI) and builds critical data models to improve process performance and product quality Owns technical implementation and documentation associated with datasets Provides updates on project progress, performs root cause analysis on completed projects and works on identified improvement areas (like process, product quality, performance, etc.) Provides post-implementation support and ensures the target project benefits are successfully delivered in a robust and sustainable fashion. Builds relationships and partners effectively with cross-functional teams to ensure available data is accurate, consistent and timely Independently manages expectations from stakeholders, optimally utilizes time for larger initiatives with minimal guidance on prioritization or dependencies Provides mentorship and guidance to peers and junior team members Mandatory Skills required to perform the job: Knowledge on the software development lifecycle expert in translating business requirements into technical solutions; and fanatical about quality, usability, security and scalability Strong Knowledge on Python and PySpark. Specialist in Power Platform (Power Apps & Power Automate) Expert in Reports & Dashboard development (Power BI) and ETL tools (SAP DS, SSIS) Data Analysis skills, experience in extracting information from databases, Office 365 Knowledge of SAP systems (SAP ECC T-Codes & Navigation) Expert in Data Base Development, Troubleshooting & Problem-solving skills (SQL Server, SAP HANA, Azure Synapse) Experience in project requirements gathering and converting business requirements into analytical & technical specs. Good understanding of business processes and experience in Manufacturing/Inventory Management domains Knowledge in performing Root cause analysis and Corrective actions Excellent verbal and written communication & presentation skills, able to communicate cross-functionally Desirable Skills: Agile/SCRUM development using any tools. Understanding of enterprise server architecture, cloud platforms Experience in advanced analytics techniques using Statistical analysis Ability to deliver training and presentations in the area of expertise Our Commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Companys intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. On-site Flex you ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. Virtual Flex you ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

Role & responsibilities We're hiring a Data Research Analyst to join our Research & Data Services team. This role involves gathering and analyzing information about companies from the web including crafting short descriptions about companies, tracking investments and funding rounds, mergers & acquisitions, and other key corporate events. If you have a knack for internet research, a love for data accuracy, and an interest in the world of startups, finance, and business, this could be a great fit. What You'll Do Conduct internet research to collect accurate information about companies across sectors. Track and record business events such as Venture funding(Seed, Series A, B, etc), Mergers and acquisitions, IPOs and executive changes. Write clear and concise company descriptions based on publicly available data. Research online and create relevant content as per style, tone, and requirements. Organize data in spreadsheets or internal databases with precision. Verify and validate data from multiple sources for consistency and reliability. Collaborate with the quality assurance team to ensure data integrity. Preferred candidate profile 0 - 4 years of experience in a data research, web research, or business intelligence role. Excellent written English and ability to summarize complex information quickly. Familiarity with business and financial terms. Proficient in tools like Google Search, LinkedIn, Pitchbook, Company Websites, business information sites and Excel/Google Sheets. Strong attention to detail and ability to meet deadlines. Nice to Have Background in business, finance, Journalism and content writing Experience using tools like PitchBook, Owler, or similar research platforms. Prior experience in a BPO/KPO or analytics environment.

Senior Software Engineer ? The AI & DPE team is responsible for product management and innovative product development of products and services to address the evolving risk and security needs of all of Mastercard s various customer segments. Platform Services team in AI & DPE focuses on defining the strategic direction for underlying platforms to enable the successful implementation of real-time, data-driven innovative products and services focused on network, security, fraud, digital identity and authentication. The team is responsible to look across all the products/services across AI & DPE and drive efficiency, re-usability and increase speed to market for our products and services. The candidate for this position will focus on Data Unification across different data assets, enabling a single unified view of data from multiple sources and support the development of new innovative data driven cyber products, services and actionable insights. The Role: We are seeking a Senior Software Engineer who will: Perform data ingestion, aggregation, processing to drive and enable relevant insights from available data sets. Partner with various teams (i.e., Product Manager, Data Science, Platform Strategy, Technology) on data needs/requirements in order to deliver data solutions that generate business value. Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques. Identify innovative ideas and deliver proof of concepts, prototypes to deliver against the existing and future needs and propose new products, services and enhancements. Integrate & Unify new data assets which increase the value proposition for our customers and enhance our existing solutions and services. Analyse large volumes of transaction and product data to generate insights and actionable recommendations to drive business growth Collect and synthesize feedback from clients, development, product and sales teams for new solutions or product enhancements. Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions. All about You Minimum 5-8 years of relevant experience. Good understanding of programming language preferably PySpark and Big Data technologies. Experience with Enterprise Business Intelligence Platform/Data platform. Strong SQL and higher-level programming languages with solid knowledge of data mining, machine learning algorithms and tools Experience with data integration tools - ETL/ELT tools (i.e. Apache NiFi, Azure Data Factory, Databricks) Exposure to collecting and/or working with data including standardizing, summarizing, offering initial observations and highlighting inconsistencies. Strong understanding of the application of analytical methods and data visualization to support business decisions. Ability to understand complex operational systems and analytics/business intelligence tools for the delivery of information products and analytical offerings to a large, global user base. Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor Ability to easily move between business, analytical, and technical teams and articulate solution requirements for each group

The AI & DPE team is responsible for product decisioning management and innovative product development under services business unit to address the evolving risk and security needs of all of Mastercard s various customer segments. AI & DPE team focuses on defining the strategic direction for underlying platforms to enable the successful implementation of real-time, data-driven innovative products and services focused on network, security, fraud, digital identity and authentication. The team is responsible to look across all the products/services to drive efficiency, re-usability and increase speed to market for our products and services. The candidate for this position will focus on driving actionable insights and build innovative solutions out of multiple data sources using analytics, machine learning and reporting capabilities. The Role: We are seeking a Senior Software Engineer who will: Partner with various teams (ie, Product Manager, Data Science, Platform Strategy, Technology) on requirement gathering in order to deliver analytics solutions that generate business value Perform data preparation by ingestion, aggregation, processing to drive and enable relevant insights from available data sets Identify and code the best suited data algorithm model for the relevant insights Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques. Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions Collect and synthesize feedback from clients, development, product and sales teams for new solutions or product enhancements All about You Strong SQL knowledge for data preparation and mining Strong knowledge of writing data/machine learning algorithm in Python or R Experience in doing data analysis and extraction on Hadoop Experience of working on at least one reporting tool - Tableau and PowerBI is a plus Experience in data modeling, programming, querying, data mining and report development using large volumes of granular data to deliver business intelligence and custom reporting solutions Exposure to collecting and/or working with data including standardizing, summarizing, offering initial observations and highlighting inconsistencies Strong understanding of the application of analytical methods and data visualization to support business decisions Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor Ability to easily move between business, analytical, and technical teams and articulate solution requirements for each group

This position allows the successful incumbent to develop deep technical and broad commercial skills by being exposed to, and working on a wide variety of internal projects. Working as part of a large, sophisticated analytics team, this role will be required to: Manipulate and analyse data for the development and validation of predictive models in the areas of credit risk, demographics, marketing, fraud and ratings, in distributed computing environment Monitor Equifax s cutting edge scorecards and risk tools Create business case and analytic insight materials that show the value of predictive modelling and visualise the insights Conduct ad hoc queries such as bureau insights, testing solutions Lead small projects and quality check own and others outputs guide junior data scientists Maintain documentation that supports Analytics platform of databases, data products and analytical solutions. What you'll Do: Project Leadership / Mentoring Mentor Analysts through development process Driving a focus on learning so that the team benefits from your coaching and other learning events that contribute to improved performance. Develop and maintain a network of influence. Demonstrate leadership by example. Data Analysis Leading statistical and data analysis, sometimes as project team leader. Demonstrate analytic leadership in the approaches used and proactively provide technical guidance and support to analysts. Demonstrate a high level of skill in programming required to perform analysis such as demonstrated experience with SQL, R, Python and Tableau on Cloud environments such as GCP or equivalent. Process and analyse large volumes of data in the development of insights. Prepare documentation for all work, to ensure that an audit trail is sufficient for a colleague to be able to quality review and/or repeat your analysis. Quality check your own and other analyst work output to ensure error-free delivery of information and analysis. Develop extensive repertoire of analytical methodologies and techniques for investigating data relationships and insights Adhere to Equifax project management standards and effective use of project management resources (methodology, templates, time recording systems and project office). Product and Service Contributing to analytic roadmap, product development and innovation Develop a detailed understanding of the full product and service offering available through Equifax as we'll as the market dynamics and requirements within the data driven marketing space. Proactively use this understanding to work with the team and stakeholders to enhance and expand Equifax s data and insights assets. What experience you need BS degree in a STEM major or equivalent discipline 5-7 years of experience in a related analytical role Proven track record of designing and developing predictive models in real-world applications Experience with model performance evaluation and predictive model optimization for accuracy and efficiency Cloud certification strongly preferred Additional role-based certifications may be required depending upon region/BU requirements Process Improvement and Efficiencie Drive transition to more advanced modelling environments, utilising distributed computing and methodologies such as machine learning Demonstrate an understanding of business needs, making recommendations relating to new or improved data and insights assets. Supporting the other teams within the Analytics function by working with them to improve processes as needed. Systems and Processes Develop a detailed understanding of Equifax databases, data structures and core data analysis procedures, as we'll as maximising output through a Hadoop based file system. Develop understanding of best practice model management framework to ensure Equifax s models remain optimal in terms of performance and stability Develop familiarity with Equifax s documented project management methodology and resources (templates, time recording system, work scheduling etc). What could set you apart Passion for data science, data mining, machine learning and experience with big data architectures and methods A Masters degree in a quantitative field (Statistics, Mathematics, Economics) Cloud certification such as GCP strongly preferred Self Starter Excellent communicator / Client Facing Ability to work in fast paced environment Flexibility work across A/NZ time zones based on project needs

The Senior Data Scientist in the Interaction Insights team will help in generating actionable insights for driving the creation of fact-based research from client interactions and other Gartner internal and external data assets. At the core we are looking for a person who is passionate about learning new technologies, text analytics, digging into rows of unstructured data, drawing recommendations & actionable insights, and using creative ways to visualize & interpret it for research. This person will have a flair of innovation along with a strong experience in Python, Data Science, NLP, Machine Learning, Deep Learning, LLMs and the analysis of unstructured data. They would be working closely with various stakeholders to explore opportunities to optimize data mining techniques and improve the accuracy of insights generated using NLP or various types of Machine Learning/Deep Learning/LLM models. What you will do: Execute large-scale, high-impact data science projects, translating research objectives into actionable data and insights from both internal and external data assets Provide ad hoc modeling and analytical insights to inform strategic and operational initiatives Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning (ML) and natural language processing (NLP) Interpret data-driven patterns and insights in alignment with original business objectives Address critical business challenges by leveraging data science, ML, and NLP methodologies Interact with internal and external stakeholders to refine and enhance findings Collaborate as part of a team in a fast-paced environment, meeting strict SLAs and turnaround times Develop a deep understanding of the technology industry and maintain expertise in the data science domain Ensure delivery of high-quality data science solutions with a focus on accuracy and coverage Be accountable for the scalability, stability, and business adoption of data science solutions Maintain proper documentation and adhere to code reusability and best practices Take ownership of algorithms, including their ongoing enhancement and optimization to meet evolving business requirements Stay current with advancements in AI/ML models and technologies, and apply disruptive data science solutions as appropriate. Collaborate with engineering and product teams to launch MVPs and iterate quickly based on feedback Independently plan, drive and execute data science projects that deliver clear and measurable business value What you will need: Education - masters in engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, Computer Science with focus on AI or Data Science; BE/BTech or Bachelors (Comp. Sc./AI) with relevant experience Total experience - 7 to 10 years of which 5+ yrs as hands-on Data Science, AI/ML experience on real-world industry problems, with focus on Text Mining and Natural Language Processing/text analytics Advanced proficiency in Python and SQL, with experience using key data science libraries and tools (eg, Pandas, Numpy, scikit-learn, TensorFlow, PyTorch, Spacy, NLTK, Scipy) Hands-on experience with machine learning, deep learning, NLP (including LLMs/GenAI), and applying these models to real-world business problems Strong background in data preparation, including cleaning, normalization, and handling unstructured text data for modeling Experience with cloud computing platforms such as AWS or Azure for model training, testing, and deployment Familiarity with both relational (eg, Oracle) and NoSQL databases (eg, MongoDB, graph databases), as we'll as distributed computing frameworks like Spark Proficiency in best coding practices and code/repo management using GitHub or Bitbucket Basic skills in Power BI, Excel, and PowerPoint Strong analytical, critical thinking, and problem-solving skills, with the ability to extract insights from complex and unstructured datasets Demonstrated ability to collaborate across product, engineering, and data science teams, and to influence stakeholders at all levels Excellent communication skills in both technical and business contexts Self-motivated, eager to learn, adaptable to feedback, and comfortable working in a fast-paced, milestone-driven environment What you will get: Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more! Collaborative, team-oriented culture that embraces diversity Professional development and unlimited growth opportunities

This position of IAM Technical Analyst executes the various core functions of the Shared User Service Accounts( SUSA) project to include, but not limited to account lifecycle management attestation. The IAM Technical Analyst acts as a partner who works closely with teams across the organization to understand information requirements, deliver timely analysis, and present key insights to internal stakeholders pertaining to SUSA . A Technical Analyst communicates technical specifications to line of business management while communicating with technical teams the project A Technical Analysts job essentially is to be a communicator and facilitator of technology between those whose jobs are technical, and those who do not understand technical language or do not have a higher level of technical abilities. The IAM Technical Analyst should have a high level of knowledge and understanding on how the Oracle Identity and Access Management system works. This includes knowing different integration models and connectors. They should also know how provisioning and certifications work as we'll. Typical job duties for the IAM Technical Analysis is as follows but not limited to: Familiarity with leading IAM concepts such as Least Privilege, Privileged Access, Roles and Data mining, Segregation of Duty SOD, and Role Based Access Control RBAC. Analyze requirements, document processes, and implement solutions to manage privileged accounts, ensuring compliance and minimizing risk Conducting cross-functional discovery exercises with both business and technical users to create design that accurately reflect the organizations business and corresponding IT access authorizations to fulfill those business needs Communicating with stakeholders and helping stakeholders understand different implementation options at business and technical level Coordinate with various teams to drive and execute access changes bring access in line or make recommendations to change as appropriate Ability to gather and analyze information, design tests and validation procedures to confirm accuracy and strengths of a given control point Architecting solutions for easier design implementation and completing them through execution Coordinate analysis of discovered user accounts for risk, ownership and access appropriateness Working with stakeholders to understand their access needs and designing access roles accordingly Identify necessary ETL processes and coordinate with IAM SQL Developers. Required soft skills: Ability to identify technical specifications to meet user needs including operating system and network or application configuration. Skills in planning, organizing, and adapting within a multi-tasking environment. Strong interpersonal skills, flexibility, and customer service orientation. Ability to gather facts and data for technical proposals and to expand upon them or develop alternatives and to evaluate emerging technologies and identify their potential impact within the existing environment. Ability to evaluate emerging technologies and identify their potential impact within the existing environment. Ability to analyze complex computer problems and provide solutions. Ability to communicate effectively, both orally and in writing. Ability to communicate technical information to non-technical personnel. Ability to develop and deliver presentations. Mandatory skills OIM SUSA integration - IAM Technical analyst Domain Cyber Sec

ZSs Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What you'll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What you'll Bring A masters degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (eg, text mining, social listening, recommender systems, predictive modeling, etc). A proficiency in at least one programming language (eg, Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English.

Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What you'll Bring A masters degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (eg, text mining, social listening, recommender systems, predictive modeling, etc A proficiency in at least one programming language (eg, Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English.

Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What you'll Bring: A masters degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (eg, text mining, social listening, recommender systems, predictive modeling, etc ) . A proficiency in at least one programming language (eg, Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English.

We are an escalations team in Operations that primarily works on databases, performance, infrastructure, scalability & innovate solutions Diagnose and resolve complex database performance issues across PostgreSQL and MySQL and provide RCAs Perform query optimization, indexing, and database configuration adjustments to ensure optimal response times and resource utilization. Proactively monitor and analyze database workloads, identify bottlenecks, and recommend improvements to developers and other teams. Perform MariaDB/MySQL to Postgres migrations. Provide on-call support during weekends on rotational basis. you'll get an opportunity of leading individual projects, including driving project outcomes & delivering technical solutions for complex business needs. Work with cross functional teams, pursue to the resolution of bugs identified. Proactive monitoring of customer infrastructure to avoid any P1/P2 escalations. Ensure that MTTR (Mean Time To Resolve) of any issues stays within SLA Deep dive on Database and ServiceNow Platform performance bottlenecks by utilizing performance engineering tools To be successful in this role you have: 5+ years of hands-on experience as a Database Administrator or Database Operations Engineer, with a strong focus on PostgreSQL and MySQL in production or business critical environments. Expertise in database architecture, indexing, query tuning, performance optimization, high-availability solutions and regular DB administration activities such as schema, tablespace and backup/recovery management. 3+ years of experience providing support on a SaaS, PaaS, or Cloud Infrastructure product/solution Proven experience with concurrency, multithreading, and distributed system architectures Hands-on experience with database monitoring tools and setting up effective alerts. Experience in data mining tool such as Splunk, Grafana or ELK stack tool. Unix skills: including development, navigation, file manipulation, permissions, searching/finding files and text contents, and administrative actions Develop and implement automation scripts (e.g., Python, Bash) for routine operational tasks, deployments, and health checks. Strong experience with application/database performance engineering tools (pgbench, sysbech, mysqlslap, jmeter, flamegraph) is highly preferred. Experience with ServiceNow platform, scripting, tuning, troubleshooting is highly preferred. Formal experience on a DevOps, support or Operational team is desired. Experience in supporting large scale web-based distributed application running on JVM/Apache/Tomcat is preferred

We are looking for energetic, high-performing and highly skilled Engineers to help shape our technology and product roadmap. You will be part of the fast-paced, entrepreneurial Enterprise Personalization Portfolio focused on delivering the next generation of digital global marketing capabilities. Under Personalization portfolio, GCT team is responsible for Global Campaign Tracking of new accounts acquisition and bounty payments and leverages transformational technologies, such as Adobe Analytics, Google Analytics, SQL, GCP, Big Query, Spark & Java. Focus Designs, develops, solves problems, debugs, evaluates, modifies, deploys, and documents software and systems that meet the needs of customer-facing applications, business applications, and/or internal end user applications. Develop and maintain large data processing pipeline and marketing campaign optimization strategies. Responsibilities Digital Marketing Campaign Tracking using Adobe Marketing products. Build Campaign Analysis dashboards for Marketing and Finance teams using Adobe Analytics. Design and implement a solution for the implementation of tracking with cookies using Adobe marketing suite, manage tag containers, variables and implement content tagging Use Cloud SQL and Dataproc to migrate existing Hadoop/Spark/Hive workloads to Google Cloud. Proficient in BigQuery to carry out batch and interactive data analysis. Function as member of an agile team by contributing to software builds through consistent development practices (tools, common components, and documentation) Primary focus is spent writing code, conducting code reviews and testing in ongoing sprints, or doing proof of concepts/automation tools. Enable the deployment, support, and monitoring of software across test, integration, and production environments Qualifications: A bachelors degree in computer science, computer engineering, other technical discipline, or equivalent work experience 6 9 years of software development experience. Hands-on expertise with application design, software development, and automated testing. Working knowledge of Adobe Marketing Suite, Campaign tracking and Adobe Analytics Strong programming knowledge in Big Query, Cloud SQL, Data Proc and Pyspark Understanding and experience with UNIX / Shell / Perl / Python scripting Strong Experience with Cloud Platform (GCP) Web services design and implementation using REST / SOAP and Java is a plus Experience collaborating with the business to drive requirements/Agile story analysis. Experience with design and coding across one or more platforms and languages as appropriate Bonus skills Campaign Tracking using Google Analytics Search Ads 360 (SA 360) Machine learning/data mining Object-oriented design and coding We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

As a Sr. Staff Engineer on the Data Engineering Team you'll be working on some of the hardest problems in the field of Data, Cloud and Security with a mission to achieve the highest standards of customer success. You will be building blocks of technology that will define Netskope s future. You will leverage open source Technologies around OLAP, OLTP, Streaming, Big Data and ML models. You will help design, and build an end-to-end system to manage the data and infrastructure used to improve security insights for our global customer base. You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills. What you will be doing Conceiving and building services used by Netskope products to validate, transform, load and perform analytics of large amounts of data using distributed systems with cloud scale and reliability. Helping other teams architect their applications using services from the Data team wile using best practices and sound designs. Evaluating many open source technologies to find the best fit for our needs, and contributing to some of them. Working with the Application Development and Product Management teams to scale their underlying services Providing easy-to-use analytics of usage patterns, anticipating capacity issues and helping with long term planning Learning about and designing large-scale, reliable enterprise services. Working with great people in a fun, collaborative environment. Creating scalable data mining and data analytics frameworks using cutting edge tools and techniques Required skills and experience 10+ years of industry experience building highly scalable distributed Data systems Programming experience in Python, Java or Golang Excellent data structure and algorithm skills Proven good development practices like automated testing, measuring code coverage. Proven experience developing complex Data Platforms and Solutions using Technologies like Kafka, Kubernetes, MySql, Hadoop, Big Query and other open source databases Experience designing and implementing large, fault-tolerant and distributed systems around columnar data stores. Excellent written and verbal communication skills Bonus points for contributions to the open source community Education BSCS or equivalent required, MSCS or equivalent strongly preferred