Staff Scientist, Tech

About the Role

• Solving complex, global-scale problems at the intersection of digital systems and physical movement.
• Acting as a technical multiplier, operating at high stakes.
• Architecting next-generation marketplace mechanisms or defining experimentation guardrails for product areas.
• Working where performance and scale cannot be separated.
• A high-impact leadership role requiring navigation of extreme ambiguity and decision-making with imperfect information.
• Setting scientific strategy for entire organizations, mentoring scientists, and influencing executive roadmaps.
• A pragmatic role for solving "unsolvable" problems and taking full ownership of outcomes in a fast-paced, high-accountability environment.

Key Responsibilities

• Translate strategically important, unstructured problems into rigorous experiments and productionized solutions.
• Lead the architecture and design of next-generation algorithms, role-modeling coding best practices and promoting the adoption of key frameworks.
• Set the science strategy and experimentation standards across multiple teams.
• Act as a technical multiplier, identifying opportunities for better performance, efficiency, and reduction of technical debt.
• Influence executive-level roadmaps by presenting complex technical findings and long-term strategic recommendations.
• Own the technical trajectory of critical product areas, ensuring solutions are extensible, modular, and observable.

Requirements & Tech Stack

• Ph.D., M.S., or B.S. degree in Statistics, Computer Science, Applied Mathematics, Operations Research, Economics, or other quantitative fields.
• M.S. degree/B.S. degree, along with a minimum of 8+ years of industry experience.
• Deep expertise in statistical inference and experimental design (e.g., A/B, switchbacks, cluster-randomized trials).
• Proficiency in SQL and Python to work efficiently with large-scale datasets and distributed tools (e.g., Spark, Hive, Presto).

Qualifications

• Technical Vision: Foreseeing architectural or scientific problems 12+ months out and addressing them.
• Impact Scale: Leading multi-quarter, cross-functional initiatives that moved significant marketplace or financial metrics in production.
• Technical Brand: Inspiring and rallying engineers/scientists around a vision while making tough trade-offs with a bias for action.
• Domain Mastery: Specialized expertise in Causal Inference at scale, Marketplace Optimization, or ML System Design for high-throughput environments.