Senior Data Scientist, Risk & ML — Hybrid

Turo Inc.; San Francisco (CA); Hybrid; USD 156,000 - 195,000; Full time

Benefits offered by this job

Equity

Medical, dental, vision insurance

Retirement match

Learning & Development stipend

Travel credit

Cell phone and internet stipend

Paid time off

Job summary

Turo Inc. is seeking a data scientist to build ML frameworks for marketplace risk mitigation and profitable growth.

You will own features to identify fraud, share insights, and guide product decisions across cross-functional teams including Analytics, Trust & Safety, and Engineering. You will apply statistical methods to real-world prediction problems, translate business challenges into rigorous models, and ship production-ready code in Python, with strong SQL skills.

Qualifications

• 4+ years of relevant data science and ML experience.
• Fluent in production-ready Python, SQL, and modeling techniques.
• Ability to translate business problems into mathematical frameworks and scalable solutions.
• Experience working with PMs, Trust & Safety, Analytics and Engineers.

Responsibilities

• Develop ML frameworks for marketplace risk mitigation and growth.
• Own product features to identify and limit fraud and provide recommendations.
• Collaborate with Data Analytics, Trust & Safety, and Product teams on modeling decisions.
• Audit 3rd party data vendors and ensure data quality for projects.
• Present insights to technical and non-technical audiences across the company.
• Guide Engineering teams on data training, testing and experiment data.

Skills

Data Science

Machine Learning

Python

SQL

Risk Modeling

Cross-functional collaboration

Job description

Turo Inc. is seeking a data scientist to build ML frameworks for marketplace risk mitigation and profitable growth.

You will own features to identify fraud, share insights, and guide product decisions across cross-functional teams including Analytics, Trust & Safety, and Engineering. You will apply statistical methods to real-world prediction problems, translate business challenges into rigorous models, and ship production-ready code in Python, with strong SQL skills.