Own complex, endtoend projects that combine technical depth with crossfunctional collaboration, influencing feature direction and prioritization rather than broad organizational investment decisions. Foster alignment and trust across partner teams through clear, actionable communication and collaborative problemsolving. Mentor and support peers by sharing best practices, reviewing designs, and contributing to a collaborative, highperformance team culture.
Responsibilities
Deliver impactful solutions by executing highleverage data science and analytics initiatives within a product area or feature team, ensuring measurable improvements to user and business outcomes. Lead the design and implementation of advanced model finetuning pipelines, including Reinforcement Learning from Human Feedback (RLHF), to align AI system behavior with user intent and improve performance in realworld scenarios. Develop and maintain robust measurement systems, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems and enterprisescale environments. Leverage AI to streamline workflows and enhance team productivity through intelligent automation and innovation.
Required Qualifications
Bachelor'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 Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). Experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 3+ years experience conducting research as part of a research program (in academic or industry settings). 1+ year(s) experience developing and deploying live production systems, as part of a product team. 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page