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Data Scientist - Rider Pricing

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 Team

 

The Rider Pricing team is responsible for the algorithms and systems that determine prices for every trip on the Uber platform. The models built by our team set prices that trade off engagement and profitability on $20 billion in annualized gross billings, and they work to maintain market reliability via dynamic pricing in all of Uber’s 600+ cities. We’re a team built on data, and execute by leveraging the best of quantitative disciplines, from machine learning to operations research, statistical inference to econometrics and structural modeling.

 

We're looking for a data scientist to build state of the art ML and statistical models that uplevel our pricing systems.

What You’ll Do

  • Predicting Express Pool matching efficiency using route-aware models that incorporate real time features
  • Reinforcement-learning models for surge pricing
  • Innovating at the intersection of machine learning and causal inference
  • Work with engineering to build production models using Tensorflow

What You’ll Need

  • Experience with data analysis, experimentation, and machine learning
  • Energetic attitude and excitement about building advanced pricing systems
  • Proficiency with Python, and bonus for Numpy, Pandas, Tensorflow
  • Proficiency with SQL and Hive / Spark

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.