Software Engineering IC4

Microsoft•Redmond, WA

About The Position

Do you want to be at the cutting edge of AI that expands SharePoint’s role as a leader in content management as we enter the age of AI. The SharePoint Platform powers file collaboration for OneDrive, Microsoft Office, Teams, OneNote, Education, Copilot, and much more – making it one of the largest storage platforms in the world and a leader in content management systems. This storage is at the heart of AI, powering Copilot experiences across Microsoft 365. We’re looking for a Senior Data Scientist with a proven track record of deeply understanding complex platform problems and using industry-leading analytical techniques to find insights that transform our business and product experiences. Ideal candidates should be able to take a business or engineering problem from Product, Applied Science or Engineering leaders, translate it to a Data Science problem, conduct the appropriate analysis and modeling to reveal actionable insights, and help drive deep change. As a Senior Data Scientist for the OneDrive and SharePoint Platform team, you will shape the future of AI across Microsoft 365 by leading the innovation and delivery of the core OneDrive and SharePoint AI Platform. You will drive the data science vision and strategy for the team, which is the backbone of Microsoft 365 AI experiences, and provides foundational file grounding and RAG across all Microsoft products and services. You will help develop deep understanding of how the SharePoint platforms enables and empower core AI scenarios for Copilot, Agents, Copilot Notebooks and many Microsoft applications. You will be part of a high-performing and high-ambition Product Management organization for one of the largest and most impactful services on the planet, which provides the essential storage and data that fuels AI and Copilot scenarios. You will foster a culture of data obsession, innovation, and collaboration within our team and across Microsoft. 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.

Requirements

Doctorate 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 Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.
Experience working with large-scale, distributed data stores.Strong programming skills in Python or C# with experience building data pipelines and production ML workflows.
2+ years’ experience working in enterprise software and large-scale platforms, project-delivery experience, professional services, and/or consulting experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years 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 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.
Advanced degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field with deep, sustained data science experience.
Demonstrated expertise managing complex structured and unstructured datasets and applying advanced statistical or machine learning techniques.
Deep experience designing and optimizing data models and queries in Cosmos DB at scale.
Experience deploying and monitoring ML models in Azure-based production environments.
Experience defining evaluation methodologies and influencing data science standards at team or organizational level.
Solid track record of translating customer needs into scalable, data-driven solutions.

Responsibilities

Work across different functions to translate business problems into ones that can be solved and informed by data analysis.
Have curiosity and apply analytical skills to dive deep into data to find key insights that identify platform problems and potential solutions.
Develop models of platform usage, user behavior & business behavior to make recommendations and influence the product road map.
Develop and apply rigorous evaluation frameworks, including inventing new metrics and validation methods as needed.
Maintain deep industry knowledge of data science trends and technologies to inform strategy and thought leadership.
Prepare clear executive-ready reviews, including presentations and asynchronous communications.
Build, maintain, and report scorecards to track quality, performance, and business outcomes.
Partner with Applied Science & Research, as well as your peers in PM across Microsoft to deliver seamless platform capabilities.
Utilize tools like SQL, R, Python to execute analyses.
Utilize LLMs and other AI technologies to revolutionize data science practices within the team, enhancing the speed, accuracy, and scalability of data analysis and insight generation.
Embody our culture and values