TL;DR

Senior Data Scientist (AI): Managing the marketplace for Microsoft Advertising, including monitoring business metrics and building analytical frameworks with an accent on data-driven decision-making. Focus on solving complex data science problems across users, advertisers, and publishers, to influence product and service improvements.

Location: Must live within a 50-mile commute of a designated Microsoft office in the U.S.

Salary: USD $119,800 – $234,700 per year (USD $158,400 – $258,000 per year within the San Francisco Bay area and New York City metropolitan area)

Company

Microsoft’s mission is to empower every person and every organization on the planet to achieve more.

What you will do

  • Define and deliver metrics to accurately measure user and business value across various products and marketplace components.
  • Think critically about sampling and experimental design across User and Demand dimensions.
  • Interpret analysis results, validate approaches, and monitor iterations to continuously improve.
  • Partner effectively with program management, engineers, and other business areas across our Consumer online business.
  • Engage with stakeholders to produce clear, compelling, and actionable insights that influence product and service improvements.
  • Translate strategy into clear and measurable plans, with progress shared monthly to stakeholders.

Requirements

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience OR Master’s Degree in a related field AND 3+ years data-science experience OR Bachelor’s Degree in a related field AND 5+ years data-science experience OR equivalent experience.
  • Experience in at least one of the programming languages like Python/R/MATLAB/C#/Java/C++.
  • Committed organizational, analytical, data science skills.
  • Ability to solve problems that the world has not solved before.
  • Experience with real-world system building and data collection, including design, coding, and evaluation.
  • Experience with driving large collaboration across multiple teams.

Nice to have

  • Experience with communicating with different audiences to provide insights.
  • Demonstrated experience in applying statistics, experimentation, and metrics to generate clear actionable insights.

Culture & Benefits

  • Employees are expected to work from the office at least four days per week.
  • We come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
  • We build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.