Data Scientist II
Microsoft
Data Science
Hyderabad, Telangana, India
Job Title: Data Scientist II
The Windows and Devices mission is to build innovative, trusted, and open products and platforms that are centered on people, showcase the best of Microsoft, and empower every person and organization on the planet to achieve more. To achieve this mission, Microsoft Devices designs and manufactures 1st party premium hardware products including Surface, Xbox Gaming, HoloLens and Accessories. From product creation through product delivery, we innovate technology and processes across our supply and manufacturing base. Within the Windows and Devices (W+D) organization, we are the Microsoft Devices Operations (MDO) organization.
Our mission to enrich work, life, and play by bringing iconic Microsoft products to life, and we accomplish this by managing a highly leveraged, fully digitized supply base that meets our product and business goals. As part of our scope, we manage New Product Introduction, Product Engineering, Strategic Sourcing, Global Manufacturing Operations, Manufacturing Test & Infrastructure (MTI), Supply Chain, and Device Services.
The AI Engineering team within MDO develops and deploys leading AI experiences that directly impact how Microsoft designs, plans, sources, manufactures, and delivers devices at global scale. Our multidisciplinary team - spanning data science, software engineering, and data engineering - delivers production solutions using Generative AI, ML/Deep Learning, mathematical optimization, and simulation, applied to real operational decisions with measurable impact.
You are an AI/ML practitioner with hands-on experience building and deploying production systems - ideally in supply chain, manufacturing, or sourcing though solid candidates from other operational domains are welcome. You combine solid technical fundamentals with the curiosity to understand the business problems behind your work and the engineering discipline to deliver solutions that hold up in production.
You communicate clearly, collaborate effectively across teams, and hold yourself to high standards of rigor and craft.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
As a Data Scientist II within the AI Engineering team, you will:
Problem Solving & Stakeholder Collaboration
- Work with business stakeholders, Solution Managers, TPMs, and engineering teams to understand business context and translate defined problems into analytical and technical approaches.
- Contribute to scoping discussions, surfacing trade-offs and helping refine the path from business need to AI solution.
Technical Execution
- Build and deploy production AI/ML systems (ML/DL, GenAI, optimization) using Azure AI, open-source frameworks, and custom models, with ownership of model development from prototype through deployment.
- Apply engineering best practices for code quality, MLOps, testing, and monitoring; contribute to improving team-wide standards.
Continuous Learning & Contribution
- Stay current with emerging AI tools and frameworks; evaluate and apply them to your work.
- Share learnings with the team; collaborate openly and contribute to a rigorous, inclusive engineering culture.
Qualifications
Required Qualifications:
- 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 consulting experience.
- 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.
Preferred Qualifications:
- Hands-on experience with Azure-native platforms: Fabric, Kusto, Databricks, Synapse, Azure ML Studio.
- Exposure to supply chain, manufacturing, or hardware operations contexts (demand planning, yield optimization, logistics) is a plus.
- Experience contributing to MLOps infrastructure: CI/CD for models, automated retraining, drift detection.
- Familiarity with optimization methods (linear/mixed-integer programming, simulation) applied to operational problems.
- Systems thinking - ability to reason about trade-offs between model performance, engineering effort, and operational simplicity.
#W+DJOBS
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.