APT is the world's largest purely cloud-based predictive analytics software company. APT's Test & Learn software is revolutionizing the way Global 2000 companies harness their Big Data to accurately measure the profit impact of pricing, marketing, merchandising, operations, and capital initiatives, tailoring investments in these areas to maximize ROI. APT's client portfolio includes Walmart, Staples, Lowe's, SunTrust, Hilton Hotels, and others. APT has offices in Washington, D.C., San Francisco, London, Taipei and Tokyo. Visit www.predictivetechnologies.com to learn more.Founded in 1999, Applied Predictive Technologies is an established company that loves to hire graduates from George Mason University, with 11.5% of its employees having attended George Mason University. Want to compare Applied Predictive Technologies to some other great places to work in Arlington, VA? We suggest taking a look at Zippia's list of Best Companies to Work For in Arlington, VA.The average employee at Applied Predictive Technologies makes $102,753 per year. Pay at Applied Predictive Technologies is significantly lower than some of its highest paying competitors, like New Relic, Sumo Logic, and Turbonomic, which pay $135,319, $133,310, and $129,821, respectively.Applied Predictive Technologies is a medium technology company with 600 employees and an annual revenue of $27.0M that is headquartered in Arlington, VA.
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The team at Applied Predictive Technologies
The founders of Applied Predictive Technologies are Jim Manzi, Anthony Bruce, Greg Fitzwilliam, Cathy Baker, Josh Head, Patrick O'Reilly and Scott Setrakian.
The key people at Applied Predictive Technologies are Jim Manzi, Anthony Bruce and Greg Fitzwilliam.
Key people
Jim Manzi
Anthony Bruce
Greg Fitzwilliam
Cathy Baker
Josh Head
Patrick O'Reilly
Scott Setrakian
Applied Predictive Technologies salaries
Average Applied Predictive Technologies salary
$102,753
yearly
$49.40 hourly
Updated March 14, 2024
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Applied Predictive Technologies diversity
8.4
Diversity score
We calculated Applied Predictive Technologies’s diversity score by measuring multiple factors, including the ethnic background, gender identity, and language skills of Applied Predictive Technologies’s workforce.
Applied Predictive Technologies diversity summary. Zippia estimates Applied Predictive Technologies's demographics and statistics using a database of 30 million profiles. Zippia verifies estimates with BLS, Census, and current job openings data for accuracy. We calculated Applied Predictive Technologies's diversity score by measuring multiple factors, including the ethnic background, gender identity, and language skills of Applied Predictive Technologies's workforce.
Applied Predictive Technologies has 600 employees.
39% of Applied Predictive Technologies employees are women, while 61% are men.
The most common ethnicity at Applied Predictive Technologies is White (37%).
31% of Applied Predictive Technologies employees are Asian.
14% of Applied Predictive Technologies employees are Hispanic or Latino.
The average employee at Applied Predictive Technologies makes $102,753 per year.
Employees at Applied Predictive Technologies stay with the company for 3.7 years on average.
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Compare Applied Predictive Technologies salaries to competitors, including New Relic, Sumo Logic, and Turbonomic. Employees at New Relic earn the highest average yearly salary of $135,319. The salaries at Sumo Logic average $133,310 per year, and the salaries at Turbonomic come in at $129,821 per year.
Rank
Company
Average salary
Jobs
1
$135,319
0
2
$133,310
0
3
$129,821
0
4
$113,301
0
5
$105,302
0
6
$103,689
0
7
$91,743
0
8
$90,587
0
9
$83,870
0
10
$82,133
0
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Zippia gives an in-depth look into the details of Applied Predictive Technologies, including salaries, political affiliations, employee data, and more, in order to inform job seekers about Applied Predictive Technologies. The employee data is based on information from people who have self-reported their past or current employments at Applied Predictive Technologies. 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 Applied Predictive Technologies. The data presented on this page does not represent the view of Applied Predictive Technologies and its employees or that of Zippia.
Applied Predictive Technologies may also be known as or be related to Applied Predictive Technologies, Applied Predictive Technologies, Inc. and Applied Predictive Technology.