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Microsoft AI (MAI) builds an integrated consumer AI ecosystem across search, browsing, and content, focused on delivering trustworthy, scalable experiences with durable user and business value. The MAI Growth and Analytics Team owns MAI wide metrics, shared measurement systems, and experimentation frameworks to enable consistent, high confidence decisions and optimize MAI level outcomes. We are seeking a Principal Data Scientist to drive Microsoft Content measurement strategy and partner across product and business. Given the efficiency improvement brought from AI, the candidate must drive the AI into Analytics System to improve efficiency and automate deep analysis for non-data scientist roles.
Job Responsibility:
Mentor data scientists to drive Microsoft Content product analysis and provide insights
Drive the AI Agents into Data Analysis to improve efficiency and enable data analysis for people with limited data knowledge
Partner closely with Microsoft Content Dev/PM Team and data scientists from other Product (Edge, Copilot, Ads and Search)
Develop Agent for data analysis across Microsoft Content Org
Provide daily analysis, including standardized data collection, analysis, reporting, and interpretation
Validate analytical approaches and results
Apply LLM based AI skills, statistical modeling, data mining, and experimentation to large datasets
Define and deliver metrics that accurately measure user and business
Design and execute experiments across user and demand dimensions
Translate strategy into clear, actionable, and measurable plans, sharing progress and results with stakeholders
Engage stakeholders with clear, compelling, and actionable insights
Make independent decisions for the team and handle complex tradeoffs to drive product and service improvements
Develop and standardize AI Agents for data analysis across the whole Microsoft Content and expand to other Product Org
Establish and uphold standards, policies, and best practices for high-quality, efficient, and extensible code
Influence business, customer, and solution strategy with a solid customer focus
Act as a trusted advisor
Requirements:
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 7+ 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 10+ 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
Nice to have:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience
OR equivalent experience
6+ years of experience in at least one of programming languages like Python/C#/Java
Great organizational, analytical, data science skills and intuition
Fantastic problem solver: ability to solve problems that the world has not solved before
Interpersonal skills: cross-group and cross-culture collaboration
Experience with real world system building and data collection, including design, coding and evaluation
Excellent communication to be able to communicate insights to senior leaders
Experience with driving large collaboration across multiple teams
Experience with communicating with different audiences to provide insights
Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights