At OneNote, we are driven by a bold vision: "To help activate a second brain for everyone to realize their full potential." We are embarking on the next chapter of our evolution via Copilot Notebooks: notebooks designed for an AI powered future. We're building solutions that make capturing ideas seamless, understanding complex information intuitive, and taking informed action

Whether it’s brainstorming the next big idea, organizing life’s intricate details, or simply finding clarity amid complexity, OneNote Copilot Notebooks is here. Join us as we reshape the future of AI by turning possibilities into realities — and help millions of users across the globe activate their second brain.

We are looking for a Data Scientist II to join our team and help us shape the future of OneNote. In this role, you will partner 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.

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
  • OR Master's Degree 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 tec
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec
  • OR equivalent experience.
• 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.
• Proficiency in SQL and at least one programming language such as Python or R.
• Experience with business intelligence tools (e.g., Power BI, Tableau).
• Strong 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.

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• 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.
• Strong 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.

• You will understand each customer’s business goals and learn best practices for identifying growth opportunities. You’ll also examine projects through a customer-oriented focus and manage customer expectations regarding project progress.
• Collaborate with cross-functional teams to define metrics, design experiments, and uncover user behaviors that influence product adoption and growth.
• Use statistical analysis, data mining, and machine learning techniques to generate insights from large-scale structured and unstructured data.
• Acquire the data necessary for your project plan and use querying, visualization, and reporting techniques to describe that data. You’ll also explore data for key attributes and collaborate with others to perform data science experiments using established methodologies.
• Model techniques, select the correct tool and approach to complete objectives, and evaluate the output for statistical and business significance. You’ll also analyze model performance and incorporate customer feedback into its evaluation.
• Build dashboards and reports that enable product teams to track key performance indicators and make data-informed decisions.
• Develop and iterate on models to identify high-value scenarios, recommend features, and improve user retention and engagement.
• Communicate insights clearly and effectively to both technical and non-technical stakeholders, influencing product strategy and priorities.
• Contribute to a culture of data excellence by championing best practices in experimentation, measurement, and data governance.
• Understanding the current state of the industry, including current trends, so that you can contribute to thought leadership best practices.