Applied Scientist Manager

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Applied Sciences

Manager for an Applied Scientist role focused on driving product impact through applied research in Microsoft Security. The role involves bridging research and engineering, shaping strategy, building and deploying ML solutions, and leading teams. Requires experience in developing and deploying production systems and managing people.

What you'd actually do

  1. Drive product impact through applied research
  2. Bridge research and engineering
  3. Shape strategy and technical direction
  4. Build and evolve machine learning solutions
  5. Collaborate and lead across boundaries

Skills

Required

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience OR Master's Degree AND 4+ years related experience OR Doctorate AND 3+ years related experience
  • 1+ year(s) of people management experience

Nice to have

  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience OR Doctorate AND 6+ years related experience
  • 5+ years of people management experience
  • 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers)
  • 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker
  • 5+ years experience conducting research as part of a research program (in academic or industry settings)
  • 3+ years experience developing and deploying live production systems, as part of a product team
  • 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping

What the JD emphasized

  • 3+ years experience developing and deploying live production systems, as part of a product team
  • 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping

Other signals

  • Drive product impact through applied research
  • Bridge research and engineering
  • Build and evolve machine learning solutions
  • Develop and deploy live production systems
  • Develop and deploy products or systems at multiple points in the product cycle