Talent

We know people are the driving force behind every successful business—including ours.

Working at NEA

We continually seek opportunities to expand our network of talented professionals, whether as part of NEA's team of investors and support personnel, or in an exciting role at one of our portfolio companies. Open positions with NEA will be posted as available, as well as a listing of current career opportunities with NEA-backed companies.

In addition, we have a highly experienced team of talent-focused individuals with expansive networks. Find out more about NEA talent resources and tools on our Talent & People Operations Resource Page.  Not logged in? Login or request a Portfolio Company login here.

Venture-backed start-ups are the lifeblood of innovation and job creation

Generating more than $2.3 trillion in annual revenue–18% of the U.S. GDP–and employing more than 10 million Americans, jobs at venture-backed companies are among the most rewarding careers on the planet, and many of NEA's growing portfolio companies have positions available. Check here often to see what exciting career opportunities are available at NEA-backed companies.

  • 2.3 Trillion Annual Revenue
  • 18 U.S. GDP
  • 10 Million Jobs

Connect with NEA

Job Details

2019 PhD Data Scientist Internship - Consumer at Uber
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

 

We’re looking for PhD intern candidates to contribute to Consumer data science in Summer 2019 (3 months). We seek candidates with a strong background in economics, machine learning, computer science, or statistics. You will be embedded in a product team such as Rider or Driver Experience, 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 or data-oriented research 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 a combination of empirical insights and sophisticated technical methods
  • Communicate with senior management and cross-functional teams

 

Sample Projects

  • Investigate the meaning and impact of trip quality on riders and drivers
  • Build uplift and segmentation models to be used for targeted outreach and re-engagement strategies
  • Build machine learning models for product selection, hotspot location and routing optimization
  • Building matching algorithms to enable transportation solutions in different markets
  • Build OCR models to automate Driver document transcription

 

What You’ll Need

  • Ph.D. student (anticipated graduation in 2020) majoring in CS, Economics, Statistics, Machine Learning, Operations Research, Physics or other quantitative disciplines
  • Coding proficiency and the ability to develop statistical analysis and prototype models in Python or R
  • Proficiency in SQL
  • Ability to communicate effectively with both technical and business stakeholders

 

About the Team

 

The Consumer Data Science team uses data to improve the ways that Uber’s users engage with our products. Data Scientists on Consumer play a central role in guiding product development and strategy through the discovery of insights from data as well as developing data products to optimize the experience. Internships will be with one of the two major product areas with positions in both San Francisco and Seattle:

  • Driver: Creating a seamless product experience for drivers across the driver journey: matching drivers to cars, onboarding onto our platform, creating a stress-free trip experience, and providing flexible earnings opportunities to engage drivers long term.
  • Rider: Building products that create an awesome experience for people who ride with Uber including core experiences, airports, events, and business.