Microsoft · 19 hours ago
Software Engineering IC4
Redmond, WA
Full-time
Hybrid
Senior Level
$120K/yr - $235K/yr
5+ years expMicrosoft is a leading technology company seeking a Senior Data Scientist to enhance the SharePoint Platform's capabilities in AI and content management. The role involves translating complex business problems into data science solutions, driving innovation, and fostering a data-driven culture within the team.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
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
Qualification
Required
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
Preferred
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
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
10001+ employees
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
Satya Nadella
Chairman and CEO
Vukani Mngxati
Chief Executive Officer - Microsft South Africa
Recent News
2026-01-16
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2026-01-16
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