SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.
Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.” SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.
About the team
The DS team at SecurityScorecard is composed of highly motivated professionals with diverse technical backgrounds spanning from physics to neuroscience. The team maintains a collaborative style encouraging shared learning, mentoring, and cross-team communication and support of other company departments. Projects span a wide range from crafting queries to support marketing research to applying advanced machine learning techniques to improve accuracy and draw new insights on cybersecurity risk, to developing AI-based capabilities to unlock new functionality that help our users assess and reduce their cybersecurity risk.
What you will do
We’re looking for Data Scientists to work on our core products (Ratings Platform and Atlas) to develop new analtyics based on ML and AI.. You will work with one of the largest sets of cybersecurity data in the world, and turn your insights into product enhancements on a continuous basis. The ideal candidate will be a self-starter with an advanced degree and background working with data in a quantitative or technical field, experience working with big data, and a proven record in machine learning, from concept development to proof-of-concept to final implementation.
We offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!
SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.
We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact email@example.com.
SecurityScorecard does not accept unsolicited resumes from employment agencies. Please note that we do not provide immigration sponsorship for this position. #LI-DNI