New

Senior Data Scientist

Microsoft
$119,800.00 - $234,700.00 / yr
United States, Washington, Redmond
Feb 17, 2026
Overview 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 lifeofhelping our customers effortlessly capture ideas, intuitively understand complex information, and seamlessly take informed action.Whetherit'sbrainstorming the next big idea, organizing life's intricate details, or simply finding clarity amidcomplexity, Notebooksishere. Join us as we reshape the future of AI by turning possibilities into realities. As a Senior Data Scientiston the Notebooks team, you will play a critical role inpartneringwith product, design, and engineering teams to deliver actionable insights, build experimentation frameworks, andidentifygrowth opportunities. Your work will directly influence product development and user engagement strategies across millions of users. Our culture thrives on innovation, inclusion, growth mindset, anda strong senseof purpose. Ifyou'repassionate about using data to drive decisions and want to work on a high-impact product at thecutting edgeof productivity and AI,we'dlove to hear from you. Microsoft's mission is to empower every person and every organization on the planet to achieve more. Asemployeeswe 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 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, andestablishingscalable 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, selectingappropriate approachesto solve business problems and developing, evaluating, and iterating on models that are statistically rigorous, actionable, and informed by customer feedback. Build andmaintaindashboards, reporting, and visualizations that enable teams to monitor KPIs, track experimentation results, and make datainformed decisions. Apply a strong customercentric mindset to understand customer goals,identifyhighvalue scenarios and growth opportunities where advanced analytics or modeling can unlock growth or customer value. Communicate insights and recommendations clearly to technical and nontechnical audiences, influencing product strategy, prioritization, and execution. Stay ahead of industry trends andemergingtechniques, translating them into practical, scalable impact for the business. Mentor and guide other data scientists, elevating analytical rigor, storytelling, and technical quality. Qualifications Required Qualifications: 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 withSQL and at least one programminglanguagesuch as Python or R and business intelligence tools (e.g., Power BI, Tableau). ORMaster'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 statisticaltech) including some experience withSQL and at least one programminglanguagesuch as Python or R and business intelligence tools (e.g., Power BI, Tableau). ORBachelor'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 withSQL and at least one programminglanguagesuch as Python or R and business intelligence tools (e.g., Power BI, Tableau). OR equivalent experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements arerequiredfor this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:This position will berequiredto pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, orrelated field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) ORMaster'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) ORBachelor'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+yearscustomer-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. Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay 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.