Job Description
What You Will Need
- Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
- 3+ years of industry experience as an Applied or Data Scientist or equivalent.
- Experience in experimental design and analysis.
- Experience with exploratory data analysis, statistical analysis and testing, and model development.
- Familiar with machine learning as a plus
- Experience using Python to work efficiently at scale with large data sets.
- Proficiency in SQL.
Preferred Qualifications
- 4+ years of industry experience.
- Experience in generating data insights and influence key stakeholders such as product, engineering, design, etc.
More Info
About Company
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now. 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.
