Data Scientist - Driver (Seattle)
We're changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we're a part of the logistical fabric of more than 600 cities around the world. Whether it's a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.
For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.
And that's just what we're doing today. We're thinking about the future, too. With teams working on autonomous trucking and self-driving cars, we're in for the long haul. We're reimagining how people and things move from one place to the next.
The Driver team at Uber is focused on accelerating driver growth, engagement, and retention across 300+ cities worldwide. Data Scientists on Driver play a central role in guiding product development and strategy through the discovery of insights from data. In this position, you will offer a data-driven perspective and work closely with product, engineering, and marketing. You will be on the forefront of analysis and leverage our data sources to propose new ideas related to every area of our product, including developing predictive models of driver behavior, studying market balance and developing a growth model in the context of a two-sided market, creating experiment designs for product changes with difficult constraints (e.g. extensive product network effects). Our team's autonomy gives us the flexibility to focus on the highest-impact projects in this adaptive and challenging role as we bring increasing numbers of riders and drivers onto the Uber platform.
What you'll do
- Define core KPIs to help the team understand overall business health and product performance
- Create dashboards and reports to regularly communicate results by building data pipeline and monitor key metrics
- Leverage data to perform intensive analysis across all areas of our business to catalyze product development
- Design experiments and interpret the results to draw detailed and actionable conclusions
- Generate and execute on ideas for exploratory analysis to shape future projects and provide recommendations for actions
- Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends
- Apply machine learning techniques to solve real world complex problems
- Create models to enhance understanding of user behavior and predict future performance of cohorts
- Present findings to senior management to guide business decisions
- Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing
What you'll need
- At least 2 years of experience in a quantitative analysis role
- BA/BS/MS in Physics, Economics, Applied Math, Statistics, Engineering, Computer Science, or other quantitative field (advanced degrees are a plus)
- Comfortable writing code and contributing to a code base in Python or R
- Proficient in writing and understanding complex SQL; experience working with large data sets
- Advanced knowledge of experimentation and statistical methods
- Ability to deliver on tight timelines and move quickly while maintaining attention to detail
- Collaborate closely with cross-functional teams to execute on decisions
- Self-driven and proactive with the ability to work in a self-guided manner
- Excellent communication and organization skills
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