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.

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  • 18 U.S. GDP
  • 10 Million Jobs

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Job Details

Data Scientist at Collective Health
San Francisco, CA, US
Reimagining healthcare starts with exceptional experiences that bring clarity and insight to those receiving and paying for care. Our role in administering health plans puts us a unique position to dig into the most granular level of America's healthcare payment infrastructure. This gives us control over our data quality, which is key for getting specific and actionable insights.

We are looking for an full-stack Data Scientist to join the Analytics team at Collective Health. This position requires that rare mix of applied modeling, data visualization skills and a genuine passion for building flexible and scalable frameworks. You will develop tools for analytics of both health data and financial data. You will work closely with teams across the company to develop these into specific critical analyses as well as revolutionary products that deliver specific insights.

We expect to see:

An advanced degree (MS/PhD) in a data- and modeling-heavy discipline (e.g. statistics, computer science, economics, econometrics, linguistics, neuroscience, astrophysics, atmospheric science, geophysics, etc.)
Proficient skills in statistics and data modeling (regression, significance testing, multivariate statistics, dirty data, sparse data
Excellent programming skills in Python
Demonstrated experience in data integration in various ways (web APIs, SQL, noSQL, files)
A track record of getting stuff done with minimum supervision and proven success working with data and software engineers


Nice to have:

A flair for visualization
Experience with secure cloud infrastructure (S3 data storage, identity management integration, Unix tools)
Successful record collaborating with multidisciplinary teams