Job description

About the team 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 Staff 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. What you will do Modeling & 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 profile You 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 Turo Recruiting Scam Alert: We’ve learned that there are scammers targeting job candidates by impersonating Turo and its employees. We ask candidates to be careful of fraudulent job postings or suspicious recruiting activity during their job search, especially if they’re contacted through unofficial channels (such as Instagram, Telegram, MS Teams, etc.). In general, Turo interacts with candidates through our Careers page and via turo.com email addresses, and we don’t ask candidates for sensitive financial or personal info or request money as part of the hiring process (so an application fee or equipment costs). If candidates are not sure whether they’re dealing with an impersonator, they can contact Turo’s Recruiting Team at recruit turo.com . Candidates can also report suspicious activity to the FTC or other appropriate authorities. Turo AI Policy: Turo may use AI-enabled tools to support our recruiting operations, including gathering information from candidates, drafting communications, helping with interview note-taking and assessment, and so on. These tools only supplement our team; all decisions to advance or hire candidates are made by Turo employees. While we welcome candidates to use AI-enabled tools to help prepare for their interviews, the use of such tools, including any AI chatbots or note-takers, is not permitted during live interviews or technical assessments. We want to see how you consider and solve problems in real-time, so interviews and assessments are all you (unless we indicate otherwise and ask you specifically to use an AI-enabled tool to answer a question). If during the application process you require the use of an AI-enabled tool as a reasonable accommodation for a disability, please let us know at PeopleOps turo.com . 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. About Turo Turo is the world’s largest car sharing marketplace where you can book the perfect car for wherever you’re going from a vibrant community of trusted hosts across the US, UK, Canada, Australia, and France. Whether you re flying in from afar or looking for a car down the street, searching for a rugged truck or something smooth and swanky, Turo puts you in the driver s seat of an extraordinary selection of cars shared by local hosts. Discover Turo at turo.com , the App Store, and Google Play, and check out our blog, Field Notes . Read more about the Turo culture according to Turo CEO, Andre Haddad. Turo is an Equal Opportunity Employer and a participant in the U.S. Federal E-Verify program. Women, minorities, individuals with disabilities and protected veterans are encouraged to apply. We welcome people of different backgrounds, experiences, abilities and perspectives. Turo will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance, as applicable. We welcome candidates with physical, mental, and/or neurological disabilities. If you require assistance applying for an open position, or need accommodation during the recruiting process due to a disability, please submit a request to People Operations by emailing PeopleOps turo.com.

Requirements

Must-haves

These models directly shape guest demand, host profitability, and the overall efficiency and balance of our two-sided marketplace.
You’ll join a small, high-impact team working across the full lifecycle. From research, development and deployment, to experimentation and iteration.
Modeling & 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 profile
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.
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.
Benefits Competitive salary, equity, benefits, and perks for all full-time employees

Nice-to-haves

Bonus if you have PhD in a quantitative field such as economics, statistics, machine learning, etc.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonmlmachine learningsqlawsai

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

Paid Time Off

Parental Leave

Professional Development