Senior Data Scientist, Risk

Data is our fuel at Turo. With more than 15 million days booked on the platform last year, by 3 million active guests, data is ever-more abundant and valuable. Data Science leverages that raw data to propel Turo on its mission to put the world's 1.5+ billion cars to better use. Our goals include keeping the marketplace safe, matching the right car for our guests' next adventure, finding the best price for our hosts' vehicles, and empowering teams at Turo with robust experimentation culture. We love solving complex problems, value autonomy, and a clear path to success.

The two-sided (host-guest) Turo marketplace is growing in market share and global presence. This role is primarily focused on developing ML frameworks to build marketplace risk mitigation strategies, facilitate profitable growth, and ensure Trust & Safety on the platform.  Your primary responsibilities will include the following: Operate at the nexus of Data Science and Risk strategy. You will work cross-functionally with Data Analytics, Trust & Safety, and Product teams to develop frameworks driving key product and modeling decisions. Own product features designed to identify and limit fraud on the marketplace, identify patterns, share insights, and provide recommendations through effective communication. Continually improve and monitor new and existing risk models and strategies Present your insights and suggestions to both technical and non-technical audiences of all levels in the company. Audit 3rd party data vendors in the marketplace risk space for Turo’s models and risk strategies. Own and provide technical guidance to the Engineering teams to ensure the data quality of your projects including training, test and experiment data.

You are a creative and rigorous data scientist with 4+ years of relevant experience. You are comfortable with a range of statistical and ML techniques with the ability to apply them to deliver measurable business impact at Turo.  Modeling is your thing, you are proficient in translating unstructured business problems into mathematical frameworks, and propose scalable solutions. You have a passion for consumer products, shipping high quality code, and data focused experiments. You are excited to play a key role in crafting the product from inception to implementation and beyond.  4+ years of Data Science and Machine Learning modeling experience. Experience working in cross functional teams with PMs, Trust & Safety Agents, Analytics and Engineers. Deep understanding of mathematical methods in statistics, optimization, and ML. Demonstrable experience applying these methods to real world prediction problems (classification, regression, anomaly detection, time series). Value Autonomy; Ability to think critically, understand and communicate complex problems in a result-oriented, data-driven manner with a focus on business impact. A demonstrated ability to manage and deliver on multiple projects with high attention to detail. Fluent in a production-ready programming language such as Python. Ability to deploy and scale models into a production environment collaborating with engineers. Fluent in SQL, ability to efficiently query large dataset. For this role, the target base salary range in San Francisco is $156,000-$195,000 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