Data Scientist, Dynamic Pricing team
About The Position
Turo’s Dynamic Pricing team builds the pricing intelligence that powers recommendations for 200,000+ vehicles globally: a foundational economic engine influencing 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. We’re looking for a Data Scientist who combines deep modeling expertise with strong product intuition and an economics mindset. In this role, you will own complex pricing challenges spanning demand modeling, supply–demand dynamics, causal inference, and optimization under uncertainty. You’ll join a small, high-impact team working across the full lifecycle – from research, development and deployment, to experimentation and iteration.
Requirements
- 2+ years of relevant industry experience and an advanced degree in a quantitative field.
- Strong foundation in statistics and ML, with working knowledge of econometrics and/or optimization.
- Familiarity with A/B testing and experimental design.
- Python proficiency; fluent in SQL and large-scale data work.
- Strong communication skills, capable of distilling complex modeling work into clear, strategic narratives for technical and product partners.
- Self-driven learner with strong ownership, attention to detail, and a drive for delivering real business impact.
Nice To Haves
- Experience with marketplace or platform problems and a solid understanding of economics, including supply–demand dynamics and elasticity modeling.
- Experience with quasi-experimental methods (diff-in-diff, synthetic control, IV) and/or structural modeling.
- 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).
- Track record shipping pricing or optimization systems to production.
- Experience with AWS stack or similar cloud infrastructure.
Responsibilities
- 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 business problems into modeling solutions and communicate results clearly to technical and product partners.
- Support product initiatives that improve host experience and profitability by surfacing key metrics, assumptions, and trade-offs.
- Write production-ready Python code; own model deployment, monitoring, and retraining.
- Uphold team standards for reproducibility, MLOps, and scientific rigor.
Benefits
- 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 internet stipend
- Paid time off to relax and recharge
- Paid holidays, volunteer time off, and parental leave
- In-office lunch, office snacks, and fun activities (for in-office or hybrid roles)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
