- Deliver impactful solutions by executing high‑leverage 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 fine‑tuning pipelines, including Reinforcement Learning from Human Feedback (RLHF), to align AI system behavior with user intent and improve performance in real‑world scenarios. - Own complex, end‑to‑end projects that combine technical depth with cross‑functional 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 problem‑solving. - Develop and maintain robust measurement systems, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems and enterprise‑scale environments. - Mentor and support peers by sharing best practices, reviewing designs, and contributing to a collaborative, high‑performance team culture. - 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 3+ years related experience (e.g., statistics, predictive analytics, research) - OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ years related experience (e.g., statistics, predictive analytics, research) - OR equivalent experience. - 1+ year(s) experience developing and deploying live production systems, as part of a product team. Preferred Qualifications: - 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 products or systems at multiple points in the product cycle from ideation to shipping.
