Data Science II, InsurTech

Uber
San Francisco, United StatesPosted 5 March 2026

Job Description

Data Science II, InsurTech Department: Data Science Team: Data Scientist Location: San Francisco, United States Type: Full-Time **About the Role** We're looking for a data scientist to join our InsurTech Data Science team under Core Services to provide data expertise as we work to make this world a safer place to move around. This is a cross-functional role within a global team that will work closely with product management, safety operations, engineering, and partner data teams. The work has a global scope, with different cultural and regional aspects considered for each of the studies. Uber's Stand for Safety value shows the importance and relevance of Safety here: "We embed safety into everything we do. Our relentless pursuit to make Uber safer for everyone using our platform will continue to make us the industry leader for safety. We know the work of safety never stops, yet we can and will challenge ourselves to always be better for the communities we serve." **What the Candidate Will Need** \-\-\-\- What the Candidate Will Do ---- The InsurTech Science team applies data science and analytics to insurance initiatives from delivering the best auto crash reporting experience to ensuring the most accurate claims handling process. As a member of the team you will conduct deep-dive analyses, design and analyze experiments, lead projects end-to-end, and support the development of machine learning models to make our platform as safe as possible for all users. You will play an influential role in driving critical products and policy decisions. \-\-\-\- Basic Qualifications ---- 1. M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields 2. Advanced proficiency in SQL 3. Proficiency with Python or R 4. Familiarity with experimental design (e.g., A/B experiments) and statistical methods 5. Experience with dashboarding and data visualization tools such as Tableau, Looker or similar \-\-\-\- Preferred Qualifications ---- 1. Exceptional judgment, critical-thinking, and decision-making skills 2. Advanced degree or s
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