Microsoft AI (MAI) aims to enhance personalized web experiences across Windows, Edge, and Bing by leveraging data science to improve user engagement, inform, entertain, and increase productivity for millions of customers. The Growth and Analytics team within MSN is seeking a Principal Data Science Manager to drive these improvements through data-driven insights and strategic initiatives.
Requirements
- 5+ years experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy.
- Knowledge on big data processing from raw events to metrics and insights (PySpark/Scala).
- Doctorate 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)
- Master'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)
- Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- equivalent experience.
- Previous product analytics, web analytics and or content analytics experience.
Responsibilities
- Analyze large datasets to identify patterns, trends, and content performance to improve the relevance and quality of our recommendation systems.
- Build metrics system to measure Business Health and quickly identify the root cause when metrics moves.
- Conduct business modeling to identify growth opportunities and initiate projects with a positive long-term ROI.
- Design and conduct A/B tests to evaluate algorithm performance and proposing iterative improvements based on the results.
- Enhance products by evaluating performance metrics and user feedback.
- Develop self-service dashboards and reports for various stakeholders using reporting platforms.
- Collaborate with cross-functional teams to understand features, estimate impacts and drive the engagement improvements based on insights from big data.
Other
- Lead a team of data scientists and empower them to do their best work.
- Work with a host of engaged stakeholders who value your skills and consider you thought partners in driving the business.
- Effectively communicate findings, insights, and recommendations to both technical and non-technical stakeholders, enabling informed decision-making.
- 3+ years people-management experience.
- Demonstrated stakeholder management ability including effective prioritization, clear and concise communication, and delivery of actionable data-driven insights.
