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Microsoft Corporation Logo Microsoft Corporation · IT - Software Development

Data Science II

India, Bangalore · Job Posted February 14, 2026
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Job Description

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the business intelligence team builds and maintains Power BI which is the undisputed leader in BI tool in the industry today and serves as the bridge between data professionals & Office users. Power BI’s core value proposition is to enable end users to get answers & insights from their data through data visualization. The Power BI team is on the forefront of leveraging AI to get insights into data.

Job Responsibility

  • Acquire the data necessary for your project plan and develop usable data sets for modeling
  • Update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers
  • Evaluate your team’s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale
  • Conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods
  • Research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices
  • Write extensible code that spans multiple features, and develop expertise in proper debugging techniques
  • Define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities
  • Apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations
  • Embody our culture and values

Requirements

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience
  • 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience
  • Experience with SQL and/or DAX query languages
  • Hands on experience in design & problem-solving skills with one or more programming languages, such as Python, Java, C# or C++
  • Ability to work independently, influence others, and solid communication and collaboration skills
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Nice to have

  • Familiarity with Business Intelligence and Data Modeling
  • Experience with large datasets and interest analyzing large amounts of data
  • Experience with building machine learning models on large scale data
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