Principal Applied Scientist, Experimentation Platform - Coreai

Microsoft Microsoft · Big Tech · Redmond, WA +2 · Applied Sciences

The Principal Applied Scientist will work on Microsoft's Experimentation Platform (ExP) within CoreAI, focusing on enabling high-scale online experimentation for AI-driven applications. This role involves advancing experimentation methodology and agent evaluations, collaborating with various engineering and science teams, and translating applied research into production features for a large-scale platform. The goal is to accelerate product learning and drive progress across Microsoft's AI ecosystem by providing robust experimentation capabilities.

What you'd actually do

  1. Push the envelope on online experimentation methodology and agent evaluations, advancing the state-of-the-art by connecting product development needs, latest science techniques and platform opportunities
  2. Contribute to one of the highest-scale experimentation platforms on the planet
  3. Collaborate closely with backend engineers, data scientists, site reliability engineers (SREs), and product managers to gather requirements, iterate on features, and deliver seamless, end-to-end user experiences.
  4. Collaborate closely with designers, UI-experts, science leaders and engineers to ensure clear, actionable dashboards and visualizations that empower users to make trustworthy science-informed decisions.
  5. Provide mentorship and coaching to less experienced and mid-level team members by sharing expertise to build team capabilities and guiding team members in projects, and their careers

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 OR equivalent experience.
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Microsoft Cloud Background Check

Nice to have

  • Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
  • Experience with Agent based architectures, frameworks and technologies (such as MCP, A2A protocol, or Azure AI Foundry)
  • 3+ years of experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping as part of a product team.
  • Proven track record designing and scaling online experimentation platforms that support high‑velocity A/B and multivariate testing across complex, multi‑team product ecosystems, including governance, guardrails, and causal inference best practices.
  • Demonstrated thought leadership in product measurement strategy, with the ability to define north‑star metrics, architect measurement frameworks, and influence senior product and engineering leaders on how to interpret ambiguous or noisy data at scale.
  • 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).

What the JD emphasized

  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
  • Proven track record designing and scaling online experimentation platforms that support high‑velocity A/B and multivariate testing across complex, multi‑team product ecosystems, including governance, guardrails, and causal inference best practices.
  • 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).

Other signals

  • online experimentation
  • AI ecosystem
  • agent evaluations
  • high-scale experimentation platforms