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

Senior Data Scientist at Blue Jeans Network
Bangalore, IN

In your role as data scientist you will:

  1. Lead discovery process with Stake holders to identify problems and expected outcomes
  2.    Work with Engineering/Product management with Product Analytics
  3. Collaborate with subject matter experts to determine relevant data sources
  4. Build statistical/machine learning models to extract insights
  5. Communicate the insights/recommendations to a wide spectrum of stake holders
  6. Act as a mentor to guide/train less experienced folks

Desired Skills and experience:

  1. B.E/Masters in Computer science/Statistics or equivalent
  2. At least 3 years of experience in predictive modelling, strong knowledge of deep learning and other machine learning algorithms.
  3. Strong in R,Python (numpy, scipy etc)
  4. Very strong SQL and data visualization
  5. Exposure to Big Data platforms such as Spark, Mahout, Scala, AWS machine learning is a plus
  6. Great communications skills