Stay in Touch

TITLE

 

2019 PhD Data Scientist Internship - Maps

COMPANY

 

Uber

LOCATION

 

San Francisco, CA, US

Description

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

 

We’re looking for PhD intern candidates to contribute to Maps data science in Summer 2019 (3 months).  We seek candidates with strong background in statistics, machine learning, and operations research. You will be embedded in a product team such as Routing, and work closely with the engineers and product managers under the supervision of a data scientist in that team. You’ll be focused on modeling and algorithm development on a project defined by you and your mentor.  

What You’ll Do

 

  • Work with your mentor closely to scope a project, define the problem, and develop and prototype the solution
  • Work alongside engineers and product managers to understand the business use cases and production feasibility of your work, and collaborate on the experimentation and productionisation of your work
  • Develop creative solutions to product problems using advanced mathematical algorithms such as machine learning and optimization
  • Communicate with senior management and cross-functional teams

 

Sample Projects

 

  • Develop traffic models
  • Develop turn costs and objective functions for route recommendation
  • Develop machine learning models for travel time estimation
  • Develop machine learning models to infer and refine driver and rider locations when GPS signals are weak or inaccurate

 

What You’ll Need

 

  • Ph.D. student (anticipated graduation in 2020) majoring in Statistics, Machine Learning, Operations Research, or other quantitative disciplines
  • Experience in modeling and algorithm development
  • Coding proficiency and the ability to develop statistical analysis and prototype algorithms in Python or R.  Proficiency in Java is a plus
  • Proficiency in SQL
  • Ability to communicate effectively with both technical and business stakeholders

Apply for the job

Subscribe to our blog.


 

Blog & Newsletter Signup