Principal Applied Scientist at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

0.0

Posted On

20 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Analytics, Reinforcement Learning, Human Feedback, Model Fine-Tuning, Causal Inference, Experimentation Frameworks, AI Systems, Mentoring, Collaboration, Communication, Research, Predictive Analytics, Automation, Innovation

Industry

Software Development

Description

Drive strategic impact by identifying and leading high-leverage data science and analytics initiatives across multiple product domains. Lead the development and deployment of advanced model fine-tuning pipelines, leveraging Reinforcement Learning from Human Feedback (RLHF) to align AI system behavior with human intent and improve performance in complex, real-world enterprise scenarios. Steer strategic direction and investment decisions by owning complex, end-to-end projects that blend technical depth with organizational influence. Build alignment and trust across leadership and cross-functional teams through clear, persuasive communication and collaborative engagement. Design and implement robust measurement systems, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems and enterprise-scale environments. Mentor and elevate the data science community by championing best practices, nurturing talent, and cultivating a collaborative, high-performance culture. Harness AI to accelerate workflows and amplify team productivity through intelligent automation and innovation. Embody our culture and values Bachelor'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 Master'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) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) 5+ years experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping. Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent 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 at multiple points in the product cycle from ideation to shipping.

Responsibilities

Drive strategic impact by leading high-leverage data science and analytics initiatives across multiple product domains. Design and implement robust measurement systems and frameworks tailored to dynamic AI systems and enterprise-scale environments.