Drimva

Microsoft

Senior Applied Scientist

$120K–$261K

Redmond, WA +1 · On-site · Senior · Full-time · Posted Oct 21, 2026

Location
Redmond, WA
Mountain View, CA
Experience
Required: 4+ years with a bachelor’s degree, 3+ years with a master’s degree, or 1+ year with a doctorate, in related experience; equivalent experience is accepted. Preferred: 6+ years with a master’s degree or 3+ years with a doctorate; equivalent experience is accepted.
Education
Bachelor’s, master’s, or doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field; or equivalent experience.

About the job

Designs and improves online advertising auctions, including ad ranking and pricing, using research, experimentation, and production software to deliver business impact.

What you'll do

  • Develop and extend auction mechanisms for new markets; evaluate and improve existing algorithms through large-scale experimentation.
  • Build data pipelines and software for solution implementation, experimentation, dashboards, and diagnostics; bring new approaches into production.
  • Identify high-impact business opportunities, apply suitable methods, and document and share findings.

What they ask for

  • Bachelor’s degree in a listed or related field plus 4+ years of related experience; or master’s degree plus 3+ years; or doctorate plus 1+ year; or equivalent experience.
  • Expertise in mechanism design for online auctions, A/B experimentation and statistical analysis, and data pipeline creation.
  • Knowledge of mathematical and statistical modeling, machine and reinforcement learning, optimization methods, and Azure/Microsoft Data Science tools.

Nice to have

  • Master’s degree in a listed or related field plus 6+ years of related experience; or doctorate plus 3+ years; or equivalent experience.

Pay

USD $119,800 - $234,700 per year (base salary); USD $160,200 - $261,000 per year (base salary)

Tools

Machine Learning, Reinforcement Learning, Azure/Microsoft Data Science tools

AI focus

Applies machine and reinforcement learning to online advertising auction design, ranking, pricing, and optimization.

Model-written summary · the original posting is authoritative

First seen Oct 22, 2026 · Last verified Nov 4, 2026 (UTC)