Senior Data Scientist

Microsoft • Redmond, WA

1d

About The Position

Are you passionate about shaping the future of AI and empowering millions of users to unlock their full potential? The Notebooks Team in the Office Product Group organization (OPG) is leading an exciting transformation with Copilot Notebooks and OneNote — intelligent, dynamic experiences infused with powerful AI that act as a true "second brain." The Notebooks team is hiring a Data Scientist to help us bring our mission to life of helping our customers effortlessly capture ideas, intuitively understand complex information, and seamlessly take informed action. Whether it’s brainstorming the next big idea, organizing life’s intricate details, or simply finding clarity amid complexity, Notebooks is here. Join us as we reshape the future of AI by turning possibilities into realities.
As a Senior Data Scientist on the Notebooks team, you will play a critical role in partnering with product, design, and engineering teams to deliver actionable insights, build experimentation frameworks, and identify growth opportunities. Your work will directly influence product development and user engagement strategies across millions of users. Our culture thrives on innovation, inclusion, growth mindset, and a strong sense of purpose. If you’re passionate about using data to drive decisions and want to work on a high-impact product at the cutting edge of productivity and AI, we’d love to hear from you.
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) 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 tech) 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 tec) 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.
• 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.
• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level