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Data Scientist | E-Mobility, Optimization






San Francisco, CA, US


At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.


We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

About the role:


The New Mobility team at Uber is building products to support the new Mobility business, which includes Bikes and Scooters, both under the JUMP brand (acquired by Uber) and in partnership with other providers.


As a data scientist on the New Mobility team, you will provide data expertise as we drive towards enhancing growth and deepening engagement. In this position, you will offer a data-driven perspective and work closely with product managers and engineering. You will leverage our data sources to propose new ideas related to every area of this growing business, including understanding growth patterns, engagement obstacles, market growth and product performance. Our team's autonomy gives us the flexibility to focus on the highest-impact projects in this dynamic fast growth startup-within-Uber.


What you'll do

  • Leverage data to perform intensive analysis across all areas of our business to drive growth strategies, including product development and rider engagement strategies
  • Generate 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
  • Build models to enhance understanding of user behavior and predict future performance of cohorts
  • Design experiments and interpret the results to draw detailed and actionable conclusions
  • Create dashboards and reports to regularly communicate results and monitor key metrics
  • Present findings to senior management to inform business decisions
  • Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing

What you'll need

  • Minimum 4 years of experience in a quantitative analysis role with emphasis on statistics
  • BA/BS/MS in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field (advanced degrees are a plus)
  • Excellent SQL skills and the ability to use tools such as Python, R, or Excel to work efficiently at scale 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
  • Work closely with cross-functional teams to execute on decisions
  • Self-driven with the ability to work in a self-guided manner
  • Superb communication and organization skills

Apply for the job

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