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Data Scientist | Bikes & Scooters, Optimization

undefined, Data Science in San Francisco, CA

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 job

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

The Optimization Data Science team sits within the broader New Mobility Data Science group. As a data scientist on the Optimization team you’ll be building the algorithms and doing the analysis that drive increases in utilization and reduce the operational costs of our fleets of bikes and scooters.

The team is at a stage where we are constantly working with time tradeoffs. New Mobility, a startup-within-Uber, is at a stage of very rapid growth.

 

What you'll do

  • Provide analysis using mathematical and operations research modeling tools to improve business processes and decisions
  • Generate ideas for exploratory analysis to shape future projects and provide recommendations for action.
  • Build predictive models and apply optimization algorithms to improve business processes
  • 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 3 years of experience in a quantitative analysis role with Analytics, Machine Learning, Optimization
  • 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 develop statistical analysis and machine learning software in a programming language. Most of our packages and other reusable code are in Python.
  • Machine learning/statistical modeling, optimization/data analytics and experimentation skills
  • 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
  • Great communication and organization skills

See our Candidate Privacy Statement

At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.