Data Scientist, Safety
About Uber
The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.
About the Role
Qualifications
Bachelors degree in Mathematics, Statistics, Computer Science, Economics or Engineering.
4+ years of SQL experience (Hive, Spark, and other big data tools a plus).
4+ years of Python expnerience (experience in R a plus).
3+ years of experience working with experimentation and measurement.
3+ years of experience working with at least 1 visualization tool (Tableau, Power BI, etc.)
Preferred Qualifications:
Advanced degree in Mathematics, Statistics, Computer Science, Economics or Engineering.
Hands-on experience working on LLM projects including shipping to production.
Experience working within a highly XFN organization, including stakeholders across Product, Eng, Ops, and more.
Responsibilities
Work with cross-functional teams such as product management, safety operations, and engineering teams to design, deploy, and measure the impact of new products and policies.
Create metrics and reporting functions to measure and monitor safety products on our platform.
Effectively and proactively communicate insights and drive projects to improve safety.
Proactively seek out opportunities to build new solutions to tackle safety challenges.

