Principal Applied Science Manager at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

25 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Applied Science, Machine Learning, Natural Language Processing, Information Retrieval, Statistics, Predictive Analytics, Research, Team Management, Project Execution, Data-Driven Strategy, Cross-Functional Collaboration, Experimentation, Career Development, Technical Direction, Knowledge Sharing, Product Development

Industry

Software Development

Description

Drive end-to-end applied science projects: From ideation and design to implementation, experimentation, and shipping, you will lead high-impact projects that directly improve Copilot Chat, Copilot Search, and BizChat experiences. This includes identifying search and relevance gaps, formulating innovative hypotheses, and delivering scalable solutions. Lead and grow a high-performing applied science team: Manage, mentor, and empower a team of applied scientists—owning their technical direction, project execution, and career development. You will guide day-to-day work, ensure scientific and engineering rigor, and be accountable for the team's output and impact. Innovate with scientific rigor: Invent and apply cutting-edge techniques in machine learning, natural language processing, and information retrieval to address real-world challenges at enterprise scale. You will design novel approaches for improving retrieval, ranking, query understanding, and semantic search in Copilot systems. Document, share, and amplify learnings: Promote a culture of transparency and innovation by capturing experimental results, documenting methodology, and publishing internal learnings. You'll drive knowledge sharing that enables broader impact across the organization. Translate business goals into scientific strategy: Partner closely with product and business stakeholders to align team efforts with high-priority objectives. You will translate ambiguous product requirements into clear, data-driven, and technically feasible directions. Collaborate across organizations and time zones: Work cross-functionally with platform engineering teams, peer science orgs, and product managers to ensure alignment, resolve dependencies, and unblock progress. You'll be a key bridge between applied science innovation and product delivery. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years of people management experience. Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 7+ years of people management experience. 3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 7+ years experience conducting research as part of a research program (in academic or industry settings). 5+ years experience developing and deploying live production systems, as part of a product team. 7+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

Responsibilities

Drive end-to-end applied science projects to improve Copilot Chat, Copilot Search, and BizChat experiences. Lead and grow a high-performing applied science team, ensuring scientific rigor and accountability for the team's output and impact.