Book a car rental on Turo, skip the rental counter. From EVs and trucks to luxury vehicles, find the right car for your trip. Free cancellation on most trips. Backed by Kleiner Perkins and GV.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this role
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.
- 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...
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