Microsoft · 12 hours ago
Senior Data Scientist
Redmond, WA
Full-time
Hybrid
Senior Level
$120K/yr - $235K/yr
5+ years expMicrosoft is a leading technology company, and they are seeking a Senior Data Scientist to join their Notebooks Team in the Office Product Group. The role involves leading data science initiatives, partnering with various teams to deliver insights, and influencing product strategies to enhance user engagement through advanced analytics.
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Responsibilities
Lead complex, ambiguous data science initiatives, translating open-ended business problems into well-scoped analyses, models, and experimentation plans with significant impact, while driving end-to-end efforts from data acquisition and validation to feature preparation and development of reusable data assets, upholding best practices for data quality and integrity
Partner closely with senior product, engineering, and business leaders to inform product roadmaps and investment decisions through data-driven insights
Work with product and data teams to shape analytical strategy — defining success metrics, experimentation frameworks, and measurement standards, and establishing scalable modeling and experimentation best practices to drive product adoption, engagement, and growth
Apply advanced statistical, machine learning, and data mining techniques on large-scale structured and unstructured data, selecting appropriate approaches to solve business problems and developing, evaluating, and iterating on models that are statistically rigorous, actionable, and informed by customer feedback
Build and maintain dashboards, reporting, and visualizations that enable teams to monitor KPIs, track experimentation results, and make data‑informed decisions
Apply a strong customer‑centric mindset to understand customer goals, identify high‑value scenarios and growth opportunities where advanced analytics or modeling can unlock growth or customer value
Communicate insights and recommendations clearly to technical and non‑technical audiences, influencing product strategy, prioritization, and execution
Stay ahead of industry trends and emerging techniques, translating them into practical, scalable impact for the business
Mentor and guide other data scientists, elevating analytical rigor, storytelling, and technical quality
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) including some experience with SQL and at least one programming language such as Python or R and business intelligence tools (e.g., Power BI, Tableau)
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) including some experience with SQL and at least one programming language such as Python or R and business intelligence tools (e.g., Power BI, Tableau)
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) including some experience with SQL and at least one programming language such as Python or R and business intelligence tools (e.g., Power BI, Tableau)
OR equivalent 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
Experience in product analytics, growth strategy, or user engagement optimization
Familiarity with Microsoft Office ecosystem or productivity tools is a plus
Experience with Copilot/LLM-related user scenarios or AI-driven products
Storytelling and communication skills, with the ability to turn complex data into clear, actionable narratives for executives and product teams
Passion for building delightful and impactful user experiences with measurable outcomes
2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience
Statistical knowledge and experience with A/B testing, causal inference, or other experimentation methodologies
Experience working with large datasets and big data technologies (e.g., Azure Data Lake, Synapse, Databricks, Spark, or equivalent)
Ability to work independently and collaboratively in a fast-paced, ambiguous environment
Candidate must be comfortable manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems
Candidate must be able to communicate complex ideas and concepts to leadership and deliver results
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
Represents job field similar to this job
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
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