Senior Data Scientist, Pricing

We are hiring a Senior Data Scientist, Dynamic Pricing at Turo.

Turo’s Dynamic Pricing team builds the pricing intelligence that powers recommendations for over 200,000 vehicles globally. This foundational economic engine influences tens of millions of pricing decisions each day. These models directly shape guest demand, host profitability, and the overall efficiency and balance of our two‑sided marketplace. The team is small, high‑impact, and works across the full life cycle—from research and development to deployment, experimentation and iteration.

You will own complex pricing challenges spanning demand modeling, supply–demand dynamics, causal inference, and optimization under uncertainty. You will be a creative, rigorous data scientist energized by mathematically complex, ambiguity‑rich problems, and you’ll translate unstructured questions into statistical frameworks and deployed solutions.

• Lead end‑to‑end development of dynamic pricing models: from problem framing to deployment and iteration using demand modeling, causal inference, and market simulation.
• Develop new approaches to pacing, lead‑time dynamics, seasonality, and price elasticity to improve pricing accuracy and marketplace efficiency.
• Build frameworks to measure how pricing decisions affect marketplace health, host earnings, and guest conversion; design experiments that account for two‑sided marketplace interactions and spillover effects.

• Translate ambiguous business problems into deployable modeling solutions and influence product strategy through clear communication to both technical and executive audiences.
• Shape and evaluate product initiatives that improve host experience and profitability, aligning cross‑functional teams on metrics, assumptions, and key trade‑offs.

• Write production‑ready Python code; own model deployment, monitoring, and retraining.
• Drive team standards for reproducibility, ML ops, and scientific rigor.

• 5+ years of relevant industry experience and an advanced degree in a quantitative field.
• Deep expertise in statistics, econometrics, optimization, and ML with demonstrated application to pricing or prediction problems.
• Strong causal inference background: experiment design, quasi‑experimental methods, and structural modeling.
• Experience with marketplace or platform problems and solid understanding of economics, including supply‑demand dynamics and elasticity modeling.
• Python proficiency; fluent in SQL and large‑scale data work.
• Exceptional communication skills, capable of distilling complex modeling work into clear, strategic narratives for executive leadership.
• Self‑driven learner with strong ownership, attention to detail, and a drive for delivering real business impact.

• PhD in a quantitative field such as economics, statistics, machine learning, etc.
• Background in market design, dynamic programming, or advanced statistical methods (hierarchical models, time‑series forecasting, survival analysis, Bayesian inference, synthetic control).
• Track record shipping pricing or optimization systems to production.
• Experience with AWS stack or similar cloud infrastructure.

Target base salary range in San Francisco: $156,000–$195,000 annually. The role also eligible for equity and benefits. Pay is determined by objective factors such as job‑related skills, experience, and education. We encourage you to speak with a recruiter to learn more about the total compensation and benefits available.

Turo highly values in‑office collaboration. This role will be in‑office on a hybrid schedule – 3 days per week on Mondays, Wednesdays, and Thursdays. Working in the office at least 3 days per week is an essential function of this hybrid role.

• Competitive salary, equity, benefits, and perks for all full‑time employees.
• Employer‑paid medical, dental, and vision insurance (country‑specific).
• Retirement employer match.
• Learning & Development stipend to invest in your professional development.
• Turo host matching program.
• Turo travel credit.
• Cell phone and…