About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security & risk experts Dr. Alex Yampolskiy & Sam Kassoumeh & funded by world-class investors, SecurityScorecards patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, & cyber insurance underwriting; making all organizations more resilient by allowing them to easily find & 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 Crains NY as a "Best Places to Work in NYC," & as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Companys annual list of the Worlds Most Innovative Companies for 2023 & 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, Moodys, Sequoia Capital, GV & 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, & cross-team communication & 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 & draw new insights on cybersecurity risk, to developing AI-based capabilities to unlock new functionality that help our users assess & reduce their cybersecurity risk.

What you will do

Were looking for Data Scientists to work on our core products (Ratings Platform & Atlas) to develop new analtyics based on ML & AI.. You will work with one of the largest sets of cybersecurity data in the world, & turn your insights into product enhancements on a continuous basis. The ideal candidate will be a self-starter with an advanced degree & background working with data in a quantitative or technical field, experience working with big data, & a proven record in machine learning, from concept development to proof-of-concept to final implementation.

Basic Qualifications

• 10+ years experience in Data Science or 5+ years with a PhD in a relevant field (computer science, physics, mathematics, engineering).
• 5+ years of experience manipulating large data sets through SQL or Python
• Experience with Neural Network & Natural Language processing (NLP) with large data sets.
• 2 years experience in big data technologies like Spark
• Excellent understanding of machine learning techniques & algorithms

Qualifications

• • Proven ability to take a project from concept stage to proof-of-concept to production
  • team player
  • PhD or Masters in a technical field preferred
  • Experience with common data science toolkits & libraries

Benefits:

We offer a competitive salary, stock options, Health benefits, & unlimited PTO, parental leave, tuition reimbursements, & much more!

If you are a resident of Colorado, New York City, California, or Washington State, please email us at talentacquisitionoperations@securityscorecard.io to receive compensation information for this role.

SecurityScorecard is committed to Equal Employment Opportunity & embraces diversity. We believe that our team is strengthened through hiring & retaining employees with diverse backgrounds, skill sets, ideas, & perspectives. We make hiring decisions based on merit & 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 talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Companys privacy policy & applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.    #LI-DNI