Data Science II, InsurTech

Uber

Quick summary

Work type: On-site
Location: San Francisco, CASunnyvale, CA
Salary: $142,000–$142,000 / yr
Posted: 67 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $153k

This role $142k

$89k most similar roles pay here $188k

This role pays less than 53% of similar roles. Most pay $126,800–$178,631 — the shaded band above. At the midpoint, this role pays about $142k versus about $153k for comparable roles.

Based on 240 similar postings.

Employer

About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

Uber currently has 329 open roles on FindRole.

Listed pay typically runs $202,000–$202,000 across 71 roles with salary data.

Most-posted roles

View all roles at Uber

At a glance

TL;DR · Data Science II, InsurTech

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Join Uber's InsurTech Data Science team as a Data Scientist to leverage data expertise in enhancing safety across global operations. This cross-functional role involves collaborating with product management, engineering, and partner teams to conduct deep-dive analyses, design experiments, and develop machine learning models that improve the auto crash reporting experience and claims handling process. Day-to-day responsibilities include extracting insights from complex datasets, creating dashboards using tools like Tableau or Looker, and driving critical product decisions. Candidates should have advanced proficiency in SQL and Python/R, along with expertise in experimental design and data visualization. The ideal candidate holds an M.S. or B.S. in a quantitative field and possesses 4+ years of experience in Python/R programming and SQL. Experience with data pipeline creation and the ability to influence stakeholders are also crucial for this role.

Skills

Python R SQL Tableau Looker A/B testing Data Pipeline/ETL CI/CD

What you'll do

Conduct deep-dive analyses to inform insurance initiatives and improve user safety.
Design and analyze experiments to enhance the accuracy of claims handling processes.
Lead projects from start to finish, ensuring successful implementation of data-driven solutions.
Develop machine learning models to optimize platform safety for all users.
Extract insights from complex datasets and communicate findings effectively to stakeholders.

What we're looking for

M.S. or Bachelors degree in a quantitative field such as Math, Statistics, Computer Science.
Advanced proficiency in SQL and 4+ years of experience with Python or R.
Experience with experimental design, statistical methods, and data visualization tools.
End-to-end product analytics and experimentation experience.
Ability to extract insights from data and document research findings effectively.
Strong judgment, critical thinking, and decision-making skills.
Experience in creating data pipelines/ETL and influencing stakeholders.

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