AdTechTalent
Data Science1 month agoOn-site

Microsoft

Principal Data Scientist

data sciencemachine learningAIforecastingbusiness analyticsmonetizationadvertisingcontent discoveryrecommendation systemsuser engagementdigital advertisinganalyticsbusiness strategy

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

10+

Location

Redmond, United States

Full job description

Microsoft AI (MAI) is seeking a Principal Business Analytics Data Scientist to support MSN & Copilot Discover products. The role involves driving business insights, forecasting, strategic planning, experimentation, monetization analytics, and decision-making frameworks. Responsibilities include partnering with cross-functional teams, analyzing user engagement and revenue, building forecasting models, leveraging AI/ML for business insights, and communicating with senior stakeholders. Required qualifications include advanced degrees in data science or related fields with 5+ to 10+ years of experience. Preferred experience includes content ecosystems, advertising, monetization, and large-scale consumer product analytics. The position is full-time, on-site in Redmond, Washington. Salary ranges from $142,800 to $274,800 annually in most U.S. locations, higher in San Francisco and New York areas.

What you'll do

  • Serve as a trusted analytics partner to leadership and cross-functional teams, translating data into clear business recommendations
  • Partner with Product, Engineering, MAI Marketplace, Monetization, Finance, and Business Planning teams to shape strategy and investment decisions
  • Analyze user engagement, content consumption, marketplace dynamics, and revenue performance to identify growth opportunities and business risks
  • Develop business frameworks connecting product initiatives, user behavior, content quality, and monetization outcomes
  • Build forecasting and scenario-planning models for engagement, traffic, ad requests, and revenue
  • Leverage AI and machine learning solutions to automate business insights, improve forecasting accuracy, enhance decision-making, and scale analytical capabilities
  • Evaluate tradeoffs between user experience, engagement, and monetization to support long-term business growth
  • Communicate insights clearly to senior stakeholders and influence decisions through data-driven storytelling

Requirements

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience
  • OR equivalent experience
  • Experience in content ecosystems, news feeds, recommendation systems, search, shopping, or content discovery platforms
  • Experience partnering with advertising, monetization, or marketplace organizations
  • Familiarity with engagement and monetization metrics such as sessions, time spent, retention, RPM, ad requests, inventory utilization, advertiser demand, and marketplace efficiency
  • Experience leading analytics for large-scale consumer products with millions of users
  • Demonstrated success influencing product strategy and business outcomes through data-driven insights
  • Solid understanding of AI-powered consumer experiences and their impact on user engagement and monetization
  • Experience managing cross-functional initiatives involving Product, Engineering, Monetization, Marketplace, and Finance stakeholders

Tech stack

AImachine learningdata scienceforecastingstatistical techniqueseconometricsoperations research

Benefits

Certain roles may be eligible for benefits and other compensationMicrosoft values inclusion and equal opportunity employmentSupport for religious accommodations and disability accommodations during application process

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