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Senior Applied Scientist

Microsoft

$119,800 - $234,700
Sep 18, 2025
Mountain View, CA, US
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Microsoft is looking to empower every person and every organization on the planet to achieve more by leading cross-company initiatives at the intersection of scientific discovery, technological innovation, and societal impact, specifically in Artificial Intelligence (AI), biosciences, and sociotechnical dimensions.

Requirements

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • Doctorate in Statistics, Economics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • 1+ year(s) of experience conducting research, writing publications, and performing research efforts in economics or related areas.
  • Demonstrated success with oversight of one or more complex analytical projects, preferably working with real-world data.
  • PhD-level training in economics, computer science, or related areas with demonstrated doctoral-level research.
  • Experience exploring sociotechnical challenges and opportunities, including one or more of technical, legal, societal, and ethical considerations of AI advances.

Responsibilities

  • Contributes to innovation and knowledge sharing: Participates in technology transfer, co-authors white papers and may collaborate on publishing research to promote intellectual leadership and impact.
  • Develops deep expertise and applies advanced analytical techniques: Gains domain-specific and broad research knowledge, consults with teams, and applies cutting-edge tools and methods.
  • Supports team growth, learning, and external engagement; maintains ties with academic and professional communities, and contributes to recruiting and mentorship efforts.
  • Supports projects aligned with OCSO priorities and operations, ensuring effective team rhythms and follow-through.
  • Initiates and coordinates projects that engages teams of research scientists and engineers across the company.
  • Serves as a key liason for the Chief Scientific Officer, including efforts within OCSO and across collaborating teams.
  • Partners directly with the Chief Scientific Officer to scope, structure, and drive forward new workstreams of strategic importance.

Other

  • Embody our culture and values.
  • Demonstrates excellent interpersonal skills with an ability to collaborate across groups and cultures, and communicates complex ideas effectively to diverse audiences
  • History of effective collaborations with researchers and other colleagues.
  • Ability to anticipate needs, manage ambiguity, and create structure and framing for high-leverage focus.
  • Demonstrated ability to build collaborative relationships.