Data Scientist, Dynamic Pricing

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 Data Scientist with a strong quantitative foundation and a desire to grow into pricing, economics, and marketplace modeling. You’ll work on well-scoped parts of our pricing challenges, including demand modeling, probability of booking, and model monitoring. You’ll join a small, high-impact team and get hands-on exposure to the full model development lifecycle, from research to deployment. What you will do Modeling & Causal Inference • Contribute to dynamic pricing model development with guidance from senior teammates: build features, train and evaluate models, and run backtests. • Analyze pricing drivers such as lead time, seasonality, and price elasticity, and help test improvements to pricing accuracy. • Help monitor models in production, investigate anomalies, and support retraining. • Write clean, tested Python and SQL, and contribute to production code through code review with senior teammates. • Follow team standards for reproducibility, ML ops, and scientific rigor. Product & Cross-Functional Collaboration • Partner with product managers, engineers, and analysts to answer business questions with data. • Share findings clearly with your team and stakeholders. Your profile You are a curious and rigorous data scientist early in your career, excited to learn how statistics, machine learning, and economics come together in a real marketplace. You enjoy translating unstructured questions into statistical frameworks. You’re interested in consumer marketplaces and motivated by seeing your work influence real-world outcomes. • 2+ years of relevant industry experience and a bachelor’s or master’s degree in a quantitative field such as Machine Learning, Operations Research, Statistics, Computer Science, or Mathematics. • Solid foundation in statistics and machine learning, hypothesis testing, and model evaluation. • Interest in economics, with a working understanding of supply and demand and price elasticity. • Proficiency in Python (pandas, scikit-learn, or similar) and SQL. • Clear communication: able to explain your analyses and results to technical and non-technical teammates. • Curious, self-motivated learner with attention to detail, who takes ownership of their work and actively seeks feedback. For this role, the target base salary range in San Francisco is $134,000-$168,000 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 is central to how we work, and this role will be subject to our current in-office hybrid schedule that requires Turists to work in the office three days per week on Mondays, Wednesdays, and Thursdays. We expect that employees will meet these required in-office days consistently as part of their role. Your recruiter can share more information about this requirement and the 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