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pymetrics overview

Industry
Computer Software
Revenue
Headquarters
Employees
139
Founded in
Website
Organization type
Private
Social media
Pymetrics develops neuroscience-based assessment and prediction technology to transform the way companies hire, retain, and develop their employees. It offers cognitive and emotional assessment solutions; and a personalized and dynamic recommendation engine for recruiting/hiring, retaining, and developing talent. Frida E. Polli and Julie Yoo founded Pymetrics in September 2013. Its headquarters is in New York City.
pymetrics is a relatively young company. It was founded only in 2011. This emerging company loves to hire graduates from George Washington University, The, with 22.2% of its employees having attended George Washington University, The. If you want to check out some more established companies, you can find other great places to work on Zippia's list of Best Companies to Work For in New York, NY.
Based in New York, NY, pymetrics is a small technology company with only 139 employees and an annual revenue of $18.0M.

pymetrics's mission statement

Make it happen fairly and accurately. Pymetrics was founded with a mission of finding the right career for everyone in the world, accurately and fairly. For decades, the connection between individuals and opportunities has been based on who the individuals are and the strength of their network, vs.

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The team at pymetrics

  • The founders of pymetrics are Frida Polli Ph.D. and Julie Yoo.
  • The key people at pymetrics are Frida Polli Ph.D. and Julie Yoo.
Key people
Frida Polli Ph.D.
Julie Yoo

pymetrics salaries

Average pymetrics salary
$67,970
yearly
$32.68 hourly
Updated March 14, 2024

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pymetrics financial performance

9.7
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Zippia gives an in-depth look into the details of pymetrics, including salaries, political affiliations, employee data, and more, in order to inform job seekers about pymetrics. The employee data is based on information from people who have self-reported their past or current employments at pymetrics. The data on this page is also based on data sources collected from public and open data sources on the Internet and other locations, as well as proprietary data we licensed from other companies. Sources of data may include, but are not limited to, the BLS, company filings, estimates based on those filings, H1B filings, and other public and private datasets. While we have made attempts to ensure that the information displayed are correct, Zippia is not responsible for any errors or omissions or for the results obtained from the use of this information. None of the information on this page has been provided or approved by pymetrics. The data presented on this page does not represent the view of pymetrics and its employees or that of Zippia.

pymetrics may also be known as or be related to Pymetrics, Pymetrics, Inc. and pymetrics.