Senior Data Scientist, Risk
About The Position
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.
Requirements
- 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.
Responsibilities
- Operate at the nexus of Data Science and Risk strategy.
- 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.
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
- In-office lunch, office snacks, and fun activities (for in-office or hybrid employees)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
