Data Sets Jobs in Bengaluru

Position: Data Analyst 3 Location: Bengaluru Department: Growth & Strategy Employment Type: Full-Time Job Description: We are seeking an experienced Data Analyst to develop and maintain interactive dashboards, design data models, and extract actionable insights to support strategic business decisions. This role requires proficiency in Tableau and/or Qlik Sense and the ability to lead a team of analysts. Key Responsibilities: Develop, maintain, and enhance interactive dashboards and reports using Tableau and/or Qlik Sense. Design and implement efficient data models to underpin visualizations and analytical processes. Analyze data from multiple sources to identify trends, patterns, and actionable insights. Write scripts and utilize calculated fields to transform and manipulate data within visualization platforms. Migrate dashboards between platforms (e.g., Qlik Sense to Tableau) as needed. Adhere to best practices in data visualization, dashboard design, and data modeling. Communicate findings effectively to stakeholders and collaborate with cross-functional teams such as sales, marketing, and engineering. Mentor and lead a team of data analysts, fostering growth and knowledge sharing. Required Skills and Experience: Minimum 4 years of relevant experience in data analysis and visualization. Proficiency in Tableau and/or Qlik Sense, including scripting and calculated fields. Strong data modeling skills and experience with relational databases (e.g., SQL Server, Oracle). Excellent analytical and problem-solving abilities. Outstanding communication and presentation skills. Industry experience in Fintech, Payments, Finance, Banking, Digital Commerce, Healthcare, or related sectors is a plus. Who You Are: A problem-solver with a knack for uncovering insights from complex data sets. An excellent communicator, able to explain data-driven insights clearly and effectively. Hands-on and proactive, committed to staying updated with the latest tools and technologies. A respected team player and leader known for your analytical depth and influence.

Data Analyst Bangalore, India Location: Bangalore (Bengaluru) Experience: 2 to 8 Years Industry: IT / Data Analytics Job Summary: We are looking for a detail-oriented Data Analyst with strong skills in SQL, Python, and Excel to extract actionable insights and optimize data pipelines on popular cloud platforms. The ideal candidate will be passionate about clean, reproducible code and thrive in a collaborative team environment. Key Responsibilities: Write efficient SQL queries and develop data extraction, transformation, and loading (ETL/ELT) pipelines on cloud platforms Automate data extraction and data insertion into Management Information Systems (MIS) using Python Analyze data sets and extract actionable business insights to support decision-making Maintain high standards of data quality and ensure reproducible, clean code Collaborate effectively with cross-functional teams and communicate findings clearly Continuously learn and adapt to new analytics tools and techniques Preferred Skills & Qualifications: Strong proficiency in SQL, Python, and Excel Experience building and optimizing data pipelines on cloud platforms such as Google Cloud Platform (GCP) Familiarity with Google BigQuery, Metabase, CleverTap, Google Data Studio, Firebase, and Google Analytics Hands-on experience with data visualization tools like Tableau and Google Data Studio Knowledge of ETL/ELT pipeline development and data flow architecture Excellent attention to detail with a passion for clean and efficient coding Strong interpersonal and communication skills to work collaboratively with diverse teams Good to Have: Experience with automated reporting and dashboard creation Prior exposure to marketing analytics tools and user behavior tracking Work with cutting-edge cloud data technologies and analytics tools Opportunity to grow your skills in data engineering and visualization Collaborative work culture focused on continuous learning and innovation

Job Title: Lead Salesforce Engineer Location: Bangalore, India Job Type: Full-Time (Hybrid Work Model) Experience Level: 8+ Years About Eightfold: Eightfold AI is revolutionizing the way we think about skills, careers, and talent management. With over $410 million in funding and a valuation of over $2B, we are leading the industry with our AI-powered Talent Intelligence Platform. Our mission is to transform how organizations hire, develop, and retain talent, ultimately helping individuals transform their careers. Join a dynamic team of innovators and make a tangible impact on employment worldwide. Led by experts with backgrounds from Google, Facebook, and IIT, we re on a mission to redefine how talent is connected with opportunity. What You Will Do: As a Lead Salesforce Engineer, you will lead the design, development, and enhancement of Salesforce solutions, ensuring scalability and maintainability. You will be involved in both technical leadership and hands-on development, driving improvements while mentoring junior and senior developers. Key Responsibilities: Salesforce Solutions Design: Lead and architect the development of Salesforce solutions, including customizations, programming, and data migrations. Project Management: Participate in the planning and execution of Salesforce initiatives, leading the delivery of features, enhancements, and KTLO work items. Team Leadership: Mentor and guide a team of Salesforce developers, ensuring adherence to best practices and alignment with enterprise architecture. Code Reviews & Best Practices: Promote coding best practices, perform solution and code reviews, and ensure compliance with Salesforce best practices. Stakeholder Collaboration: Work closely with GTM systems, RevOps, and business teams to define and execute on Salesforce system enhancements. Technical Debt Management: Identify technical debt and propose design strategies to restructure or overcome existing limitations without compromising functionality. Agile/Scrum Methodologies: Use Agile practices to drive development, including sprint planning, standups, and retrospectives. Salesforce Development: Develop and deploy solutions using Apex, Visualforce, Lightning Web Components (LWC), Salesforce CPQ, Flows, and APIs. Salesforce Performance Optimization: Continuously monitor Salesforce performance, identifying areas for improvement and optimization. Knowledge Transfer & Post-Delivery Support: Coordinate post-delivery activities including support, documentation, and knowledge transfer. Proof of Concept: Lead the creation and demonstration of proof of concepts to address complex business needs. Cross-Functional Collaboration: Work with teams across departments to ensure effective integration and deployment of Salesforce solutions. Qualifications: Required Skills & Experience: 8+ years of experience in implementing Salesforce CRM capabilities, with strong expertise in Salesforce Sales Cloud, Service Cloud, CPQ, and Experience Cloud. Advanced proficiency in Salesforce development tools including Apex, JavaScript, VisualForce, LWC, SOQL, REST API, and Bulk API. Deep understanding of Salesforce architectures, data models, and best practices. Proficient in Salesforce deployment (Metadata API, ChangeSets, Version Control) and data governance (profiles, permission sets, data visibility). Expertise in middleware integration tools, data analysis, and ensuring data hygiene. Strong problem-solving skills with the ability to manage high-level software issues. Solid understanding of Salesforce security practices (e.g., profiles, permission sets, sharing settings). Familiarity with Agile/Scrum methodologies and experience with development cycles, including UAT and deployment. Strong verbal and written communication skills, including presentation skills. Bachelor s degree in Computer Science or related field. Good to Have: Salesforce Certifications (e.g., Salesforce Certified Platform Developer, Salesforce Certified Technical Architect). Exposure to middleware integration tools. Impactful Work: Play a key role in transforming the future of employment and talent management with AI. Growth Opportunity: Eightfold has received $410M in funding and boasts a $2B+ valuation, offering immense opportunities for career growth. Hybrid Work: Enjoy a flexible, hybrid work model that balances remote work with in-office collaboration twice a week in Bangalore or Noida. Inclusive Culture: We believe in equal opportunity and diversity in the workplace, welcoming individuals from all backgrounds. How to Apply: If you are an experienced Salesforce Engineer with a passion for solving complex business problems and leading innovative projects, apply today to join Eightfold AI s mission to reshape how talent and opportunity meet! Qualification : Bachelors degree in Computer Science or related field.

Data Engineer, Product Analytics Location: Bangalore, India Full Time Company: Meta Meta is looking for an experienced Data Engineer to join our Product Analytics team. In this role, you will work on some of the most extensive data sets in the world, crafting experiences for billions of people and millions of businesses. Your technical expertise and analytical mindset will help shape data solutions across Meta to drive user experience optimization, growth, and strategy. You'll work alongside software engineers, data scientists, and product managers to tackle the most interesting data challenges at a scale few companies can match. Key Responsibilities: Conceptualize and own the data architecture for multiple large-scale projects, balancing design and operational cost-benefit tradeoffs. Design and contribute to frameworks that improve logging data efficacy, working with data infrastructure teams to resolve issues. Collaborate with engineers, product managers, and data scientists to understand data needs and represent insights meaningfully. Define and manage Service Level Agreements (SLAs) for all data sets in allocated areas of ownership. Implement and maintain security models based on privacy requirements and ensure safeguards are followed to ensure data quality. Design, build, and launch sophisticated data models and visualizations that support multiple use cases across various products. Address complex data integration challenges using optimal ETL patterns, frameworks, and techniques from structured and unstructured data sources. Optimize existing processes, pipelines, dashboards, and systems to enhance the development of data artifacts. Influence product and cross-functional teams to identify data opportunities that will drive impact. Mentor junior team members by providing constructive feedback and receiving feedback to grow as a team. Minimum Qualifications: Bachelor s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience. 4+ years of experience in roles focused on data engineering, data analysis, or similar positions, working with SQL, ETL, data modeling, and programming languages (e.g., Python, C++, Scala). Experience with SQL, ETL processes, and data modeling, along with at least one programming language (e.g., Python, C++, C#, Scala). Preferred Qualifications: Master's or Ph.D. degree in a STEM field (Science, Technology, Engineering, Mathematics). About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. Since launching Facebook in 2004, we have revolutionized how people connect. Our apps, including Messenger, Instagram, and WhatsApp, empower billions worldwide. Now, Meta is moving beyond 2D screens towards immersive experiences like augmented and virtual reality, building the next evolution in social technology. When you join Meta, you help shape the future of digital connection, taking us beyond screens, distance, and even the rules of physics. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Qualification : Bachelors degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.

Position: Commercial Operations Analyst APAC Location: Bengaluru, India We are seeking a Commercial Operations Analyst to join our APAC team, based in Bengaluru. In this role, you ll transform complex datasets into actionable business insights that directly impact commercial strategies across the APAC region. You'll partner closely with cross-functional teams to deliver data-driven solutions that boost performance and operational efficiency. This role reports to the Commercial Operations Director, APAC. What You ll Do Become a subject matter expert in APAC commercial data identifying trends, delivering prescriptive and predictive insights, and solving business challenges. Collaborate with regional stakeholders to support decision-making through analytics, dashboards, and reports. Identify opportunities for process improvements in daily analytics tasks such as funnel management and sales effectiveness tracking. Maintain data integrity by monitoring quality and addressing issues in a timely manner. Support commercial planning, opportunity management, and forecasting by analyzing large and complex data sets. Design and develop dashboards and visualizations to support funnel performance, pricing insights, and sales strategies. Required Qualifications: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. 3+ years of relevant experience as a data analyst or in a similar analytics role. Strong skills in Microsoft Excel and Power BI. Working knowledge of CRM tools like Salesforce (SFDC) and ERP platforms like Oracle. Proven ability to design and improve business processes through data. Preferred Skills: Strong problem-solving and critical thinking abilities with keen attention to detail. Excellent communication skills able to present complex data insights clearly and effectively. Highly organized and capable of managing multiple projects in a fast-paced environment. Qualification : Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.

Job Description Key Accountabilities In this Strategic Leadership Role, you will be responsible for Customer Success of the Brand and Media Practice for India . Key responsibilities encompass delivering with excellence while maintaining delivery standards, driving high operational efficiency and a strong sales mindset (support upselling & cross-selling); enabling timely revenue recognition and profitable execution. Core Responsibilities Lead and Manage a strong customer success delivery team for the Brand and Media practice for India. Support the India Sales organization and clients with best in class methodologies, deliverables and technical needs. Driving expertise in the practice and being the methods champion. Bringing that expertise to the fore in our proposal writing and RFP. Support the India Customer Success lead in managing the P&L of the practice area including W&S and T&E budgets. Coordinate and drive cross-training programs in order to maximize solution and delivery excellence, expertise, and staffing flexibility. Set and measure a high level of delivery standards driving client satisfaction. Contribute to meet India revenue targets by supporting repeat sales and timely deliverables. Coordinate and support with India Vertical business leaders and Client Sales partners on client and project revenue growth, retention, and profitability. Represent Customer Success at key client meetings, Top-To-Top meetings, and key engagements as relevant. Work with regional customer success leader and bring best practices to the local market. Develop and implement best delivery practices. Target reductions in cycle time across ad hoc methods. Drive high level employee engagement and retention. Foster a culture of continuous improvement and accountability to drive organizational efficiency. Key stakeholder in providing input into product and toolkit roadmap, representing India needs for the practice area. Lead and enable industry and thought leadership efforts from the Brand and Media Practice. Core KPIs Team Engagement and Retention Increase engagement among customer success associates in the region as measured through Engage results as well as retention of associates. Regional Revenue for the Practice Area Drive repeat sales, renewals. Ensure all delivery schedules are optimized to meet quarterly revenue targets. NPS Ensure sufficient response rate from clients. Increase/maintain baseline performance. Support and/or lead key client follow ups and action plans. EBITDA Support India lead to: Monitor project and solution profitability, and leverage time tracking learning to help improve delivery contribution. Manage W&S Delivery budget through a lens of optimization for India via org design, hubbing, etc. Manage T&E budget through the lens of prioritizing client engagement as well as team performance and engagement. Skillsets Strong sense of urgency and accountability to drive client outcomes. Proven experience in leading a team, managing people, and developing talent. Able to work collaboratively with internal & external teams. Capable to maintain positive client relationships in complex situations & resolve client issues. Strong logic, deductive reasoning, problem-solving, and critical thinking skills. Skilled & polished communicator, including client presentations. Able to synthesize data & simplify findings to solve client business issues. Strong project management skills and ability to manage multiple priorities. Experience using large data sets to finding insights and make recommendations. High say-do ratio. Experience in driving organizational transformation is a plus. Qualifications Proven track record in Analytics Consultancy/ Market Research leadership roles. Expertise in (application of) Customer Insight Solutions preferred. Proven leader of high performing teams. Bachelor's Degree required, Master s preferred, or equivalent experience. Knowledge in sales processes in CPG companies, customers, modern and traditional market. Good knowledge of NielsenIQ products, services and data preferred. Strong analytical skills. Proven sales acumen. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights delivered with advanced analytics through state-of-the-art platforms NIQ delivers the Full View . NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world s population. Qualification : Bachelor's Degree required, Masters preferred, or equivalent experience.

Data Scientist - Global Sugar and Ethanol Production Company Description: Louis Dreyfus Company is a leading merchant and processor of agricultural goods, active across the entire value chain from farm to fork. We operate a broad range of business lines, leveraging our global reach and extensive asset network to serve customers and consumers worldwide. As a matrix organization spanning six geographical regions and ten platforms, we are present in over 100 countries and employ approximately 18,000 people globally. Job Description: We are seeking an experienced Data Scientist to join our team, focusing on managing and analyzing global Sugar and Ethanol production data. This role involves integrating large datasets, applying statistical estimation methods, and developing interactive dashboards to support data-driven decision-making. You will work closely with cross-functional teams to generate insights that enhance business strategies and identify risks in production trends. Main Responsibilities: Manage and estimate global Sugar and Ethanol production and associated risks. Integrate large datasets from various sources and perform feature engineering to improve data quality and usability. Apply statistical methods and estimation techniques to analyze production trends and assess risks. Develop and maintain interactive dashboards to visualize key metrics and insights. Present findings and recommendations to stakeholders through detailed reports and presentations. Collaborate with cross-functional teams to ensure data-driven decision-making across the organization. Experience: Minimum of 3 years of experience in data science, preferably within the commodities sector. Advanced proficiency in Python programming, with expertise in libraries such as Pandas, NumPy, and Scikit-learn. Strong understanding of data integration and feature engineering techniques. Experience in statistical analysis and modeling. Proficiency in data visualization tools such as Dash. Excellent communication and presentation skills. Ability to work independently and as part of a team. Qualifications: Master s degree in economics, applied statistics, or a related field. A Ph.D. is a plus. Fluency in English, both oral and written. Experience working in a commodities-related field is preferred. Qualification : Masters degree in economics, applied statistics, or a related field. A Ph.D. is a plus.

Your Impact As a Data Engineer at QuantumBlack, you will collaborate with stakeholders, data scientists, and internal teams to develop and implement impactful data products and solutions. Your key responsibilities will include building and maintaining technical platforms for advanced analytics, designing scalable and reproducible data pipelines for machine learning, and ensuring information security within data environments. You will assess clients' data quality, map data fields to hypotheses, and prepare data for use in analytics models. Additionally, you will contribute to R&D projects, internal asset development, and participate in cross-functional problem-solving sessions with a variety of stakeholders, including C-level executives, to create innovative analytics solutions. You will be based in Gurugram, joining a global data engineering community, and work within cross-functional and Agile project teams alongside project managers, data scientists, machine learning engineers, other data engineers, and industry experts. You will collaborate directly with our clients, ranging from data owners and users to C-level executives. You will be aligned with one of our industry-focused practices: Pharma & Medical Products (PMP) or Global Energy & Materials (GEM). In these practices, you ll work on solving the most critical challenges for our clients in these sectors. PMP focuses on advancing the development and delivery of life-saving medicines and medical treatments, while GEM supports industries like chemicals, steel, mining, and energy to achieve operational excellence. GEMx and PMPx, the assetization arm of these practices, focus on creating reusable digital and analytics assets to support client work. As part of this team, you will help shape impactful solutions for large organizations, developing capabilities for sustained impact. Your Growth In this role, you will contribute to the frameworks and libraries that our teams of Data Scientists and Engineers use to progress from data to meaningful impact. You will have the opportunity to guide global companies through data science solutions, helping them transform and enhance performance across industries including healthcare, automotive, energy, and elite sports. Real-World Impact: You ll gain unique learning and development opportunities globally. Fusing Tech & Leadership: Work with the latest technologies and methodologies, with access to top-tier learning programs. Multidisciplinary Teamwork: Collaborate with data scientists, engineers, project managers, UX designers, and more to enhance performance. Innovative Work Culture: Creativity, passion, and wellness are central to our modern work environment, which includes insightful talks, training sessions, and a focus on work-life balance. Striving for Diversity: We celebrate diversity, with colleagues from over 40 nationalities, appreciating the value that diverse perspectives bring to the workplace. You are a highly collaborative individual who prioritizes impact over agenda. You enjoy learning from colleagues, challenging ideas thoughtfully, and working together to improve processes and solve problems. You believe in iterative change, experimenting with new approaches, and advancing quickly through constant learning and improvement. While we value using the right tech for the right task, our team often leverages technologies such as Python, PySpark, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions like AWS, GCP, and Azure. Your Role as a Data Engineer Collaboration: Work with business stakeholders, data scientists, and internal teams to create extraordinary, domain-focused data products (reusable assets) and deliver them to clients. Domain Expertise: Develop deep understanding of client industries and use creative techniques to deliver meaningful impact. Technical Platforms: Build and maintain technical platforms for advanced analytics engagements, spanning both data science and data engineering work. Data Pipelines: Design and implement robust, modular, scalable, deployable, and reproducible data pipelines for machine learning. Data Management: Ensure the security of data environments and compliance with information security standards. Data Wrangling: Assess data quality, map data fields to hypotheses, and prepare data for analytics models. Contribute to R&D: Participate in internal asset development and contribute to R&D projects to drive innovation. Cross-functional Problem Solving: Collaborate with internal teams and clients, including data owners and C-level executives, to create impactful analytics solutions. Your Qualifications and Skills Bachelor s degree in computer science or related field; Master's degree is a plus. 2-5 years of relevant work experience. Proficiency in at least one programming language such as Python, Scala, or Java. Strong experience with distributed processing frameworks (e.g., Spark, Hadoop, EMR) and SQL. Experience in commercial client-facing projects, particularly in close-knit teams. Ability to work with structured, semi-structured, and unstructured data, and identify linkages across disparate data sets. Clear communication skills to explain complex solutions effectively. Understanding of information security principles to ensure compliant handling of client data. Experience with cloud platforms (AWS, Azure, Google Cloud, Databricks) is highly desirable. Experience with CI/CD processes using GitHub Actions, CircleCI, or similar, and end-to-end pipeline development including application deployment is a plus. Qualification : Bachelors degree in computer science or related field; Master's degree is a plus.

Position Summary To be a team lead and senior analyst who can work on multiple project streams for a client and applies Analytics for better business decision making especially in the area of Pharma (domain). Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the onshore/ client stakeholders to define the algorithm, break down the problem into execution steps, and run the analysis. Ensure high-quality analytics solutions/reports to the client. Project scoping, solution brainstorming and design, execution, and communication of the analysis in the client-ready formats. Lead/ contribute/ support to the RFPs/ proposals working with US stakeholders/ Axtria s client partner team. Manage and mentor the team, plan their learning and career progression. Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation. Education BE/B.Tech Work Experience Overall, 7-10 years of rich experience in marketing analytics with 5+ years of good hands-on experience in Market Mix Modeling / Promotion Response Modeling / Test & Control. Proficiency in Statistical and Probabilistic methods such as multivariate regression, hierarchical modelling, Mixed Effect modelling, SVM, Decision-Trees, Random Forest, etc. Hands-on experience in Python, and strong storyboarding skills. Good communication skills- verbal and written. Experience in leading engagements of scale, team, managing deliverables/ timelines and risk. Priority to the candidates with Marketing Mix modeling in the Pharmaceutical / Life Sciences Domain. Knowledge of Pharma data sets (sales/ promotions/ customer master) in the US/ ex-US is deeply appreciated. Attitude and willingness to learn, accept the challenging environment and have confidence in delivering results within timelines. Should be inclined towards self-motivation and self-driven to find solutions to problems. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Problem Solving Lifescience Knowledge Communication Project Management Attention to P&L Impact Business development Capability Building / Thought Leadership Scale of revenues managed / delivered Scale of Resources Managed

Senior Custom Standard Cell Design Engineer Company Arm Location India Job Overview The Solutions Engineering Physical IP team at Arm is home to some of the industry s top experts in deep submicron circuit design. This role offers an exciting opportunity to work with the custom standard cell design engineering team, contributing to cutting-edge technologies. Your work will have a long-lasting impact, as these designs will power Arm s Solutions Engineering products across infrastructure, client, automotive, and IoT market segments. Responsibilities Develop Arm custom standard cells in leading-edge sub-3nm process technology nodes. Collaborate closely with physical design engineers to co-optimize circuit and layout for improved Performance, Power, and Area (PPA) in Arm cores integrated into world-class SoCs. Work with mask design teams to provide optimally tuned layouts. Characterize and model all standard library views. Validate standard cells using comprehensive QA flows across various EDA tools. Required Skills and Experience Bachelor s degree in Electrical Engineering with 8+ years of relevant circuit design experience, or Master s degree in Electrical Engineering with 6+ years of relevant circuit design experience. Proven experience identifying, designing, and verifying cells to optimize core and SoC level PPA. Deep understanding of MOSFET electrical characteristics, transistor-level device physics, and PPA trade-offs, especially at 3nm and below technology nodes. Expertise in designing static circuits, including state-retaining elements such as latches and flip-flops. Hands-on experience with standard cell characterization, modeling, and QA processes. Experience with standard cell characterization tools and SPICE circuit simulators. Proficiency in scripting languages such as Perl or Python. Strong interpersonal skills, with a willingness to mentor and support team members. Demonstrated problem-solving ability, persistence, and creativity in tackling difficult technical challenges. Positive team-oriented attitude, showing respect for all team members. Motivation to continuously develop new skills and take on various responsibilities. Ability to analyze complex data sets and present conclusions effectively. Nice-to-Have Skills and Experience Experience leading engineering teams, including project management and risk communication. Exposure to physical design implementation flows and sign-off processes. What Arm Offers Arm is committed to global talent acquisition and offers an attractive relocation package. With offices worldwide, Arm is a diverse organization of dedicated, creative, and hardworking engineers. By fostering a dynamic, inclusive, meritocratic, and open workplace, Arm empowers every team member to grow, succeed, and make a meaningful contribution to the company's global success. #LI-KR2 Qualification : Bachelors degree in Electrical Engineering with 8+ years of relevant circuit design experience, or Masters degree in Electrical Engineering with 6+ years of relevant circuit design experience.

Skills Required: Should have a minimum 6+ years in Data Engineering, Data Analytics platform. Should have strong hands-on design and engineering background in AWS, across a wide range of AWS services with the ability to demonstrate working on large engagements. Should be involved in Requirements Gathering and transforming them to into Functionally and technical design. Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources. Design, build and maintain batch or real-time data pipelines in production. Develop ETL/ELT Data pipeline (extract, transform, load) processes to help extract and manipulate data from multiple sources. Automate data workflows such as data ingestion, aggregation, and ETL processing and should have good experience with different types of data ingestion techniques: File-based, API-based, streaming data sources (OLTP, OLAP, ODS etc) and heterogeneous databases. Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders. Strong experience and implementation of Data lakes, Data warehousing, Data Lakehousing architectures. Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures. Monitor data systems performance and implement optimization strategies. Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership. Experience of AWS tools (AWS S3, EC2, Athena, Redshift, Glue, EMR, Lambda, RDS, Kinesis, DynamoDB, QuickSight etc.). Strong experience with Python, SQL, pySpark, Scala, Shell Scripting etc. Strong experience with workflow management & Orchestration tools (Airflow, Should hold decent experience and understanding of data manipulation/wrangling techniques. Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review). Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR etc. Snowflake Data Warehouse/Platform. Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. Experience of working with CI/CD technologies, Git, Jenkins, Spinnaker, Ansible etc Experience building and deploying solutions to AWS Cloud. Good experience on NoSQL databases like Dynamo DB, Redis, Cassandra, MongoDB, or Neo4j etc. Experience with working on large data sets and distributed computing (e.g., Hive/Hadoop/Spark/Presto/MapReduce). Good to have working knowledge on Data Visualization tools like Tableau, Amazon QuickSight, Power BI, QlikView etc. Experience in Insurance domain preferred.

About the job At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. Responsibilities Interact cross-functionally with a variety of leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and to assess improvements for advertising measurement products. Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding etc., and develop and implement quantitative methods to answer those questions. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and delivery of results to business partners and executives. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop knowledge of Google data structures,metrics, advocating for changes where needed for product development. Minimum qualifications: Master's degree in Statistics or Economics, a related field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods. Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference. Preferred qualifications: Experience translating analysis results into business recommendations. Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators). Experience selecting tools to solve data analysis issues. Experience articulating business questions and using data to find a solution. Knowledge of structural econometric methods. Qualification : Master's degree in Statistics or Economics, a related field, or equivalent practical experience.

About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. Account Management provide a secure and scalable platform that makes ad buying easier for businesses of all sizes. We take a strong Customer First mindset and have a responsibility to help advertisers achieve their business goals. Be a part of a team of analysts passionate about learning and using cutting edge data science and analytics techniques to shape our next generation Ads Account Management efforts. This role will manage a team of Data Scientists based out of Bengaluru. In this role, you will be responsible for managing a team and delivering insights, building and measuring key metrics, creating and maintaining reporting to assess our account management efforts. Responsibilities Work closely with the Account Management leadership team, UX, Marketing, and Support to develop a deep understanding of the needs of our advertisers, developers, and other partners. Set the direction, strategy, manage priorities and backlog of analytics projects, and coach a team of data scientists that support our account management efforts. Perform deep technical analyses with unstructured data (e.g., logs) to assess the success of our mobile efforts and new agency/large company account management products. Investigate fundamental business and product strategy questions. Deliver deep insights on specific topics and areas to provoke new feature/product ideas, or new interventions to drive improved advertiser experiences. Drive strategic analysis and reporting for business health metrics, focusing on retention, cost savings, and performance. Minimum qualifications: Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience. 7 years of experience with statistical data analysis, modeling, experimentation, causal inference, data mining, querying, and managing analytical projects with programming in SQL, Python, or R. 7 years of experience developing and managing metrics or evaluating programs/products. 5 years of experience as a people manager within a technical leadership role. Preferred qualifications: Experience managing a team of Data Scientists. Experience working with large and multiple datasets/data warehouses, and ability to pull from such data sets using relevant tools and coding. Strong business acumen and experience with utilizing unstructured data to answer open-ended business questions. Ability to start and direct work in an unstructured environment and comfortable dealing with ambiguity. Expertise in experimental design (e.g., A/B, multivariate, Bayesian methods) and incrementality analysis. Qualification : Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.

Description Johnson & Johnson is currently seeking a RWD Data Scientist, to join our Data Science and Digital Health function Innovative Medicine Research & Development located in Hyderabad/ Bangalore, India. Remote work may be considered case-by-case and if approved by the Company. At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/ . The RWD Data Scientist, will work with real world data sets to identify cohorts using complex queries in order to inform site identification strategies, diversity planning, patient journeys and protocol optimization. Working with the Director, Global Data Science, Portfolio Management, you will use your deep RWD expertise and pharmaceutical industry knowledge to advance the use of real-world data to improve clinical trial productivity and efficiency. Major responsibilities include building complex cohort queries in SQL against multiple differently formatted databases. Building sophisticated and informative visualizations for study teams including heat maps, Sankey diagrams, and other charts. Major responsibilities include cohort creation, site list and diversity analysis, building visualizations for patient journeys and localization, and process automation for cohort creation. Responsibilities: Act as a hands-on cohort builder with SQL queries against targeting differently formatted data sets. Creating and integrating site lists with information about physicians, practice sites, patient counts, diversity, and other metrics used in site selection. Supporting the creation of diversity plans. Creation of RWD study dashboards Build visualizations for cohort such as heat maps, Sankey diagrams. Participate in project teams and collaborate working closely with data science, and clinical study teams to optimize queries and create desired output. Qualifications Master s degree in a quantitative field such as computer science, epidemiology (preferred), computational biology, statistics, or a related discipline. At least 3 years of relevant experience in healthcare or life sciences industry is required At least 3 years of relevant hands-on data science experience in an R&D environment, commercial, medical affairs, scientific affairs and/or is required Familiarity with medical coding (ICD-10, LOINC, SNOMED, NDC, etc.)_ Familiarity with large datasets, understanding of data analysis workflows, and/or knowledge of querying languages such as SQL is required. Handling of healthcare relevant datasets, such as EHR, insurance claims or registry data, is required. Proficient with one or more programming language such as Python (preferred), R, C++, or Java is required. Experience with visualization software/tools such as R, Spotfire, Tableau, etc. is preferred Strong problem-solving skills with a solution-oriented mindset Excellent communication, interpersonal, and written skills are required Qualification : Masters degree in a quantitative field such as computer science, epidemiology (preferred), computational biology, statistics, or a related discipline.

About [24]7 Inc. Data is revolutionizing how we live and work, enabling us to glean insights and apply them across various aspects of our lives. At [24]7, we are leading the charge in applying data and machine learning to enhance customer acquisition and engagement. Our Customer Acquisition Cloud leverages cutting-edge AI and machine learning to target the right audiences, while our Engagement Cloud drives seamless customer interactions to deliver exceptional experiences. We cater to Fortune 100 companies worldwide, handling hundreds of millions of customer interactions each year enabling over 1.5 billion interactions annually. We tackle complex challenges in data processing, machine learning, and AI to develop Smart Agents that revolutionize customer interactions. Key Questions We Address: How do we process millions of events in a data stream to derive meaningful insights? How do we apply scalable machine learning algorithms to learn from vast data sets? How do we make real-time decisions in under 300 milliseconds, at scale, by leveraging learnings from live data streams? We utilize leading open-source technologies such as Akka, Scala, Undertow, Spark, Spark ML, Hadoop, Cassandra, and MongoDB. Real-time capabilities and platform scalability are at the core of our engineering efforts, and we constantly strive to innovate in the customer engagement space. As a Pre-IPO Silicon Valley-based company, we serve a prestigious portfolio of global brands such as Hilton, eBay, Time Warner Cable, Best Buy, Target, American Express, Capital One, and United Airlines. Our technologies reach over 300 million visitors online every month. Our team is dedicated to creating an empowering work environment and offers one of the best work cultures in Bangalore. Position: Full Stack Engineer - Product Engineering Team The Product Engineering team at [24]7 is focused on building next-generation platforms designed to deliver intuitive, seamless experiences for consumers interacting with companies via Web, Mobile, IVR (Interactive Voice Response), or traditional phone systems. Our products process vast volumes of data to predict consumer needs and preferences often before they are expressed. We are responsible for designing and developing innovative product features in areas such as big data, predictive analytics, modeling frameworks, mobile applications, and user interfaces. Our work involves creating high-performance, highly-available, and reliable products deployed in distributed environments to deliver services through a SaaS model. Key Responsibilities: Design and implement new product features from the ground up in areas including big data, predictive analytics, mobile applications, and user interfaces. Build scalable, high-performance, and distributed systems to support mission-critical services. Collaborate with cross-functional teams to deliver solutions that exceed customer expectations. Focus on system reliability, availability, and performance while maintaining best practices across the software development lifecycle. Contribute to the overall architecture and design of cutting-edge solutions. Required Qualifications: Strong fundamentals in Computer Science, including expertise in Data Structures, Algorithms, Operating Systems, and Databases. Proven experience as a Full Stack Engineer, with a deep understanding of object-oriented design principles and experience in object-oriented programming languages (Java, Ruby, Python, Scala, etc.). Expertise in developing web-based user interfaces, including HTML, JavaScript, and CSS. Strong communication skills, with the ability to collaborate and explain complex technical concepts to non-technical stakeholders. Experience in developing high-performance, distributed systems is highly desirable. Solid knowledge in system and database design. Experience across the full software development lifecycle. Familiarity with agile methodologies and experience in working with cloud-enabled services and applications. Preferred Qualifications: Exposure to open-source technologies is a plus. Familiarity with cloud platforms and services (AWS, Azure, GCP) is highly valued. Education: Bachelor's degree in Computer Science, Engineering, or a related field. If you are passionate about working on impactful, large-scale problems with cutting-edge technologies, join us at [24]7 to innovate and contribute to the future of customer engagement. Qualification : Bachelor's degree in Computer Science, Engineering, or a related field.

Summary of Essential Job Functions: Design, develop, and maintain scalable and efficient data pipelines utilizing Python, Pandas, Spark, and Dataflow. Leverage expertise in relational databases such as SQL Server and MySQL, with a comprehensive understanding of cloud platforms. Assemble and integrate large, complex data sets to meet both functional and non-functional business requirements. Analyze and integrate diverse systems and data sources through ETL processes, ensuring timely and accurate information delivery to visualization teams and business stakeholders. Optimize and troubleshoot data pipelines for enhanced performance, reliability, and scalability. Ensure the integrity and quality of data throughout the pipeline by implementing robust validation and testing strategies. Identify opportunities for process improvement, such as redesigning infrastructure to support greater scalability, improving data delivery efficiency, and automating manual processes. Collaborate with cross-functional teams to comprehend data requirements and implement solutions that align with business needs. Develop and maintain comprehensive documentation for data pipelines, including design specifications, code comments, and operational guides. Provide technical support for production issues, including troubleshooting, query optimization, and process improvements. Offer technical guidance and mentorship to junior team members, fostering best practices and encouraging continuous learning. Knowledge of analytics tools such as PowerBI, Tableau, Data Studio, and Apache Superset is a plus. Work Experience & Qualifications: 4-6 years of experience in the design and development of data pipelines and related technologies. Strong communication skills, both customer-facing and internal, with the ability to articulate complex technical concepts clearly. Bachelor s degree in Computer Science, Information Science, Data Science, or a related field. Qualification : Bachelors degree in Computer Science, Information Science, Data Science, or a related field.

Summary of Essential Job Functions: Design, develop, and maintain scalable and efficient data pipelines using Python, Pandas, Spark, and Dataflow. Strong expertise in relational databases, including SQL Server and MySQL, coupled with a deep understanding of cloud platforms. Construct and integrate large, complex data sets to fulfill both functional and non-functional business requirements. Analyze and integrate diverse systems and data sources through ETL processes and logic, ensuring timely and accurate data delivery to visualization teams and business stakeholders. Optimize and troubleshoot data pipelines to enhance performance, reliability, and scalability. Ensure data integrity and quality across the pipeline by implementing effective validation and testing strategies. Identify, design, and implement internal process improvements such as redesigning infrastructure for scalability, improving data delivery methods, and automating manual tasks. Collaborate with cross-functional teams to understand business data requirements and deliver solutions that meet organizational needs. Develop and maintain comprehensive documentation for data pipelines, including design specifications, code comments, and operational guides. Provide technical support for production issues, including troubleshooting, query optimization, and process enhancements. Offer technical guidance and mentorship to junior team members, promoting best practices and fostering continuous learning. Knowledge of data analytics tools such as PowerBI, Tableau, Data Studio, and Apache Superset is highly desirable. Work Experience & Qualifications: 8-10 years of experience in data design, development, and pipeline management. Excellent communication skills with the ability to engage effectively with both customers and internal teams. Bachelor s degree in Computer Science, Information Science, Data Science, or a related field. Qualification : Bachelors degree in Computer Science, Information Science, Data Science, or a related field.

Job Summary: We are seeking a highly skilled Internal Controls Quality Assurance Analyst to join our team and support our compliance and control environment. This is an exciting and challenging role where you will be responsible for Journal Entry (JE) & reconciliation analysis and reviews, ensuring accuracy and completeness in line with DXC finance policies. You will drive review calls with the JE posting and account reconciliation teams, manage end-to-end case processes, and engage stakeholders to resolve complex financial issues. The role requires proficiency in financial systems, data analysis, and expertise in financial reporting tools. Key Responsibilities: Perform JE & reconciliation analysis and reviews against pre-agreed KPIs. Conduct comprehensive and error-free analysis and reporting on JE posting and account reconciliation. Exhibit a keen understanding of finance policy requirements and apply them in daily tasks. Lead review calls with JE posting and account reconciliation teams, ensuring thorough analysis. Manage cases end-to-end, including effective interaction with both internal and external stakeholders. Engage stakeholders in identifying and solving moderate to complex financial issues or concerns. Provide expertise in SAP, Oracle, and other financial systems to ensure accurate processing and reporting. Lead or contribute expertise to functional project teams and cross-functional initiatives. Train, mentor, and monitor peers and team members to ensure adherence to quality standards and timelines. Education and Experience Required: First-level university degree in finance or accounting discipline (preferably MCom in Accountancy, CA Intermediates, or CAs). 9+ years of experience in Record-to-Report (R2R), including but not limited to JE posting and reconciliation of balance sheet accounts. Experience in transactional review and analysis is highly preferred. Experience interacting with internal and external customers is an added advantage. Exposure to working in a target-based model is desirable. Knowledge and Skills Required: Strong understanding of financial systems (P&L, Balance Sheet, etc.). Advanced proficiency in Excel (macros, large data set analysis), and working knowledge of Power BI. Strong oral and written communication skills, with the ability to clearly present findings and reports. Strong PowerPoint skills for creating effective presentations. Expert proficiency in SAP/Business Intelligence/EDW, and knowledge of LH GL/LH BW is preferred. Strong analytical skills with the ability to handle large data sets and financial reconciliation tasks. Deep understanding of accounting principles and their application in financial analysis. Strong leadership skills to manage teams and ensure process alignment. Time management skills and the ability to prioritize tasks effectively. Ability to design and improve financial processes for efficiency and compliance. Why Join Us? This role offers an opportunity to contribute to an essential part of the internal controls and finance operations at DXC. You'll work with a dynamic team, drive process improvements, and play a key role in ensuring compliance and accurate financial reporting. If you have a strong accounting background and enjoy working in a collaborative and fast-paced environment, this is the perfect role for you. Qualification : First level university degree in finance/accounting discipline. Mcom in accountancy or CA intermediates/ CAs will be preferred

General Summary: Qualcomm is a company of inventors that has unlocked 5G, ushering in an era of rapid acceleration in connectivity and new possibilities across industries. But this is just the beginning. Qualcomm thrives on innovation and diversity, with teams made up of inventive minds from different backgrounds and cultures, all working together to transform cutting-edge technologies into world-changing products. As a GPU Functional Verification Engineer at Qualcomm, your responsibilities will involve a deep understanding of 3D Graphics hardware pipelines, feature sets, data paths, and block functionalities. You will play a key role in designing and developing verification strategies, implementing testbenches, and working on the functional verification of Qualcomm s Snapdragon SoC products. Key Responsibilities: Develop deep expertise in the 3D Graphics hardware pipeline, including feature sets, data paths, and block functionalities. Strategize, brainstorm, and propose Design Verification (DV) environments; develop testbenches and own test plans. Debug all RTL artifacts and work to achieve comprehensive signoff matrices. Collaborate with EDA vendors and explore innovative DV methodologies to push the limits of signoff quality. Partner with architecture, design, and systems teams globally to meet and exceed all project goals. Develop and execute UVM-based System Verilog testbenches for functional verification of complex GPU designs. Engage in property-based formal verification (knowledge of formal tools is a plus). Work on subsystem-level testbenches to analyze GPU workloads and ensure compliance. Utilize emulation platforms to analyze performance and identify potential pipeline bottlenecks. Perform power-aware and gate-level simulations to ensure high-quality GPU implementation. Implement Perl/Python scripts for regression management, optimizing runtimes, managing databases, and tracking bugs. Required Skills and Experience: Bachelor s degree in Computer Science, Electrical/Electronics Engineering, VLSI, or a related field, and 2+ years of relevant experience in Hardware Engineering or Design Verification. Master s degree in a related field and 1+ year of relevant work experience, OR PhD in a related field. Minimum 3 years of experience in design verification. Strong proficiency with UVM-based System Verilog testbenches. Experience with GPU pipeline design is a plus but not mandatory. Working knowledge of property-based formal verification tools is a plus. Strong communication skills (both written and verbal) with the ability to work in a collaborative team environment. Ability to learn quickly and deliver results with high quality. Desirable Skills and Aptitudes: Experience in GPU functional verification and knowledge of 3D graphics hardware pipelines. Familiarity with emulation platforms and the ability to analyze and address performance bottlenecks. Expertise in scripting with Perl and Python for automation and optimizing verification processes. Education Requirements: Bachelor s (BE/ME) or Master s (M.Sc.) degree in Electrical/Electronics Engineering, VLSI, Microelectronics, or equivalent courses from reputed universities. Why Qualcomm? Be a part of a passionate GPU HW team dedicated to developing industry-leading Qualcomm Snapdragon SoCs. Play a pivotal role in shaping the future of mobile AR/VR by contributing to GPU solutions that drive benchmarks in the mobile computing industry. Qualification : Bachelors (BE/ME) or Masters (M.Sc.) degree in Electrical/Electronics Engineering, VLSI, Microelectronics, or equivalent courses from reputed universities.

Introduction: In this role, you will be responsible for extracting and visualizing data from large, complex datasets to identify key signals that will drive product performance improvements. This includes performing correlation analysis, identifying patterns, and engaging with key stakeholders to initiate further analysis. You will also provide feedback to design, fab, test, and diagnostic teams to drive product improvements and corrective actions. The position demands technical expertise in data analysis, statistical techniques, and the use of machine learning, along with strong skills in programming languages such as Python and SQL. You will play a key role in supporting IBM's microprocessor products through various stages of development, characterization, and diagnostics. Responsibilities: Data Extraction and Analysis: Extract and generate data sets for correlation analysis, identifying key signals and engaging relevant stakeholders for deeper analysis. Product Behavior Reporting: Standard reporting of product behaviors, including yield and performance metrics, to ensure alignment with target specifications. Diagnostic and Performance Optimization: Drive product performance and yield improvement by using data analysis techniques and algorithms. Feedback and Collaboration: Provide critical feedback to the design, fab, test, and diagnostic teams to enable corrective actions and improvements in the respective areas. Technology Characterization: Focus on product development, product requirements, product test and yield analysis to identify design-process sensitivities. Failure Analysis and Diagnostics: Root cause product failures and conduct product diagnostics to improve performance and reliability. Yield and Reliability Analysis: Optimize power-performance characteristics, conduct product qualification, and analyze circuit-limited yield and system-level dependencies. Required Education and Experience: Bachelor's Degree (required) in Electrical Engineering (EE), Computer Science (CS), or Data Science. Master's Degree (preferred) in a relevant field. Technical Expertise: Proficiency in Data Analysis: Experience applying statistical techniques and machine learning to analyze complex datasets. Advanced Programming Skills: Expertise in Python (especially data science libraries such as Pandas, Plotly, Scipy, Sklearn, etc.) and SQL for data analysis and manipulation. Java Knowledge: Familiarity with Java is a plus. Device Physics Knowledge: A strong understanding of CMOS operation, device physics, and hardware characterization. Semiconductor Process and Technology Knowledge: Demonstrated knowledge of semiconductor process, technology, reliability, and yield analysis, especially related to SRAM and processors. Wafer Test and Yield Modelling: Experience in wafer test and yield modeling is a plus. What We Offer: A dynamic and challenging role in an innovative and highly technical environment. The opportunity to contribute to the development and enhancement of industry-leading microprocessor products. Competitive compensation and benefits, including opportunities for skill development and career growth. A collaborative, cross-functional team atmosphere where your ideas and insights will drive the future of IBM products. About IBM: At IBM, we create products that power the world s most important industries. From cloud computing to AI, IBM's technologies shape the way businesses and people interact with technology, and our product characterization and data analytics team is at the heart of innovation. Join us to work on cutting-edge products, contribute to groundbreaking advancements in microprocessor technology, and help shape the future of IBM products. If you're passionate about product development, data analytics, and semiconductor technology, apply today to become a part of the IBM Infrastructure Team! Qualification : A Bachelors / Masters in EE/ CS / Data Science is required.