What you will doModeling & Causal Inference- Lead dynamic pricing model development end to end, from problem framing through 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.
Product & Cross-Functional Leadership- 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.
Technical Excellence- Write production-ready Python code; own model deployment, monitoring, and retraining.
- Drive team standards for reproducibility, ML ops, and scientific rigor.
Your profileYou are a creative and rigorous data scientist who is energized by mathematically complex, ambiguity-rich problems. You thrive at the intersection of econometrics, machine learning, and optimization, and you're comfortable translating unstructured questions into statistical frameworks and deployed solutions.
You think in equations as easily as in product narratives, and you can reason about incentives, elasticity, and market equilibrium without needing perfect data. You love working on consumer marketplaces, experimenting in production, and seeing your models influence real-world outcomes.
- 7+ years of relevant industry experience and an advanced degree in a quantitative field.
- Deep expertise in statistics, econometrics, machine learning and optimization with demonstrated application to pricing or prediction problems.
- Strong causal inference background including experiment design and quasi-experimental methods.
- 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.
Bonus if you have- PhD in a quantitative field such as economics, statistics, machine learning, etc.
- Experience with marketplace or platform problems.
- Background in structural modeling, 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.
- Familiarity with Airflow or ML orchestration tools.
For this role, the target base salary range in San Francisco is $182,000-$228,000 annually. This role is also eligible for equity and benefits. In general, our ranges reflect the market-based target for new hire salaries based on the level and location of the role. Within the range, individual pay is determined by objective factors assessed during the application and interview process, such as job-related skills, experience, and relevant education or training. We encourage you to talk with your recruiter to learn more about the total compensation and benefits available for this role.
Turo highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Turists will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursday. Turo considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Turo offers.#LI-NR1
#LI-Hybrid
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
- For those who are in the office full-time or hybrid we have in-office lunch, office snacks, and fun activities
We are committed to building a diverse team. If you are from a background that's underrepresented in tech, we'd love to meet you.
Aside from an award winning work environment and the opportunity to be part of the world's largest car sharing marketplace, we are also growing the team quickly - join us! Even if you don't meet every qualification, we are looking for people with enthusiasm for what we do and we will consider you for this and other possibilities.
