T

Turo

Platform for peer-to-peer car rentals

Staff Data Scientist - Dynamic Pricing

Data ScienceConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 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.
  • Proficiency in Python and fluency in SQL and large-scale data work.
  • Ability to distill complex modeling work into clear, strategic narratives for executive leadership.

Responsibilities

  • Lead dynamic pricing model development end to end, from problem framing through deployment and iteration, using demand modeling, causal inference, and market simulation.
  • Develop 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 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, machine learning operations, and scientific rigor.

Desired Qualifications

  • PhD in a quantitative field such as economics, statistics, or machine learning.
  • Experience with marketplace or platform problems.
  • Background in structural modeling, market design, dynamic programming, or advanced statistical methods such as hierarchical models, time-series forecasting, survival analysis, Bayesian inference, or synthetic control.
  • Track record of shipping pricing or optimization systems to production.
  • Experience with AWS stack or similar cloud infrastructure.
  • Familiarity with Airflow or machine learning orchestration tools.

About the Company

Turo

Platform for peer-to-peer car rentals

Turo is a peer-to-peer car rental marketplace that connects people who need a vehicle with local hosts who share theirs. Guests search by location, dates, price, and vehicle type, then book from a catalog of 1,600+ makes and models in the Turo app, with pickup, delivery, and in-app messaging handling the process. Hosts set prices and availability, can offer delivery and extras, and choose an earnings plan; trips include liability insurance and optional protection plans, plus 24/7 support. The company earns by taking a share of trip prices and collecting guest fees and protection plans as its revenue.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$499.3M
Headquarters
San Francisco, CA
Founded
2009

Recently Posted Jobs

Explore more opportunities at Turo

See more jobs