Data Scientist II
About The Position
As Microsoft continues to lead the way in AI innovation, Clipchamp is transforming how people create, edit, and share video content. With nearly 100 million registered users worldwide, Clipchamp powers storytelling across Microsoft 365 experiences, helping individuals and organizations communicate more effectively through video. Our mission is simple: empower everyone to create stories worth sharing. We are seeking a Data Scientist II to join our Data team and help drive growth and engagement across Clipchamp, Microsoft Teams, PowerPoint, and other Microsoft 365 experiences. In this role, you will leverage large-scale telemetry and customer data to uncover insights, understand user behavior, identify growth opportunities, measure product impact, and influence product strategy. Working closely with product managers, engineers, and business partners, you will turn complex data into actionable recommendations that improve customer experiences and business outcomes. You will be part of a collaborative and inclusive team that values curiosity, innovation, and engineering excellence. Beyond delivering insights, you will contribute to building scalable data assets, analytics solutions, and measurement frameworks that enable data-driven decision making across the organization. If you are passionate about applying data science to solve real-world customer challenges and shape the future of video experiences at Microsoft, we would 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 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 techniques and reporting results) or consulting experience 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 techniques and reporting results) OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: 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
- Experience developing data and analytics solutions using cloud technologies such as Azure, Cosmos.
- Familiarity with scripting and query languages including PowerShell, KQL, and SQL, and programming languages such as C#, TypeScript, Python, or similar technologies.
- Experience analyzing product telemetry, defining metrics, and generating insights to support data-informed decision-making.
- Experience applying statistical analysis, experimentation, and product analytics to evaluate feature performance and customer engagement.
- Familiarity with AI-powered tools and agentic workflows to improve productivity, automate analysis, and accelerate insight generation.
- Familiarity with video creation and consumption technologies and industry trends is a plus.
- Committed to quality, including security, privacy, compliance, and performance.
- Ability to translate business questions into analytical approaches and communicate insights to technical and non-technical stakeholders
Responsibilities
- Develop scalable, high-performance analytics solutions and trusted data assets that enable data-driven decision-making.
- Work with development teams to improve instrumentation quality, partner with product stakeholders, build relevant datasets, define success metrics, create dashboards, scorecards, visualizations, and tools to democratize data and foster a data-driven culture.
- Execute targeted analyses to understand customer behavior, feature adoption, engagement, retention, and product impact.
- Collect requirements, create dashboards and report, and deliver actionable insights and recommendations to business and product teams.
- Utilize artificial intelligence and agentic development to improve data pipelines and analytics platforms, and leverage AI-powered tools to accelerate insight generation, improve analytics productivity, and enhance data quality.
- Communicate analytical findings through presentations, written insights, and cross-functional collaboration, demonstrating teamwork and ownership.
- Take part in the on-call roster to monitor and mitigate data service degradation and downtime.
Benefits
- Certain roles may be eligible for benefits and other compensation.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
