Principal Data Scientist

About the role

Microsoft AI (MAI) creates innovative AI-powered and personalized web experiences in Microsoft Windows, Edge & Bing, that inform, entertain, add value, save money, and breathe productivity into the life and work of millions of customers. MAI makes the web work for our consumers, advertisers, and publishers in a safe environment where everyone can get informed, entertained, save money and thrive! MSN is a personalized content feed powering user experiences across Microsoft. Our mission is to empower every person on the planet to be informed, entertained, and inspired. We are looking for an experienced Principal Data Scientist to join our Growth and Analytics team.

Responsibilities

• Work with a host of engaged stakeholders who value your skills and consider you a thought partner in driving the business
• Collaborate with cross-functional teams to understand features, estimate impacts and drive engagement improvements based on insights from big data
• Enhance products by evaluating performance metrics and user feedback
• Develop self-service dashboards and reports for various stakeholders using reporting platforms
• Analyze large datasets to identify patterns, trends, and content performance to improve the relevance and quality of our recommendation systems
• Build a metrics system to measure Business Health and quickly identify the root cause when metrics move
• 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 propose iterative improvements based on the results
• Effectively communicate findings, insights, and recommendations to both technical and non-technical stakeholders, enabling informed decision-making

Qualifications

Required:

• 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

Preferred:

• 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) OR
• Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience
• 7+ years experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy
• Previous product analytics, web analytics and or content analytics experience
• Interpersonal communication and ability to leverage the data to tell a story
• Demonstrated stakeholder management ability including effective prioritization, clear and concise communication, and delivery of actionable data-driven insights
• Knowledge on big data processing from raw events to metrics and insights (PySpark/Scala)
• Knowledge of Content ecosystem, Ads and online shopping metrics

Pay

Typical base pay range across the U.S. is USD $142,800 - $274,800 per year. For the San Francisco Bay area and New York City metropolitan area, the base pay range is USD $188,000 - $304,200 per year.