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

Data Scientist - Segmentation 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.

Who is the Segmentation team?

 

Segmentation team at Uber is working on the latest targeting and insight generation techniques to find pockets of high performance in our data. We are building a brand new AI driven insights and targeting engine that aims to provide personalized experiences and recommendations for various products at Uber. Some examples of applications include product cross-sell, prospecting Ads targeting, marketing campaign and product personalization, to name a few. We're looking for experienced ML scientists who're comfortable working in cross-functional teams of engineers, scientists, and product professionals to address projects that sit at the intersection of infrastructure, data science, and our business operations.

 

What you'll do

  • Analyze tonnes of data to quickly get insights
  • Work on building state of the art models for targeting platform from ideation to production.
  • Partner with Software Engineering and Product Management teams to create internal infrastructure and programs in a large scale.
  • Communicate with product teams and leadership and turn hard and abstract into simple and approachable.

.

Here are the kinds of skills we're looking for:

  • A graduate degree or equivalent in applied statistics, computer science or a quantitative domain
  • 2+ years working experience delivering, scaling, and owning data science products
  • Solid theoretical and practical knowledge in machine learning models
  • Proficiency in big data technologies like Hadoop and Hive. Experience in Spark or Scala is a plus.
  • Proficiency in Python or R for data manipulation, analysis, and modeling
  • Great written and verbal communication skills to work in a collaborative environment

 

Perks

  • Employees are given Uber credits every month.
  • The rare opportunity to change the way the world moves. We're not just another social web app, we're moving real people and assets and reinventing transportation and logistics globally.
  • Smart, engaged co-workers.

 

Benefits

  • 401(k) plan, gym reimbursement, nine paid company holidays.
  • Full medical/dental/vision package to fit your needs.
  • Unlimited vacation policy; take time when you need it.