Senior Data Scientist

About SecurityScorecard

SecurityScorecard makes the world a safer place by transforming the way companies understand, improve and communicate this ever-present threat of cybersecurity risk to audiences who need to know now. As the global leader in cybersecurity ratings with more than 12 million continuously rated organizations, we are backed by world-class investors including Evolution Equity Partners, Silver Lake Partners, Sequoia Capital, GV, Riverwood Capital, and others. SecurityScorecard's patented rating technology is used by more than 30,000 organizations for enterprise and third-party risk management, board reporting, due diligence, cyber insurance underwriting, and regulatory oversight. For more information on how we change the world, visit securityscorecard.com or connect with us on LinkedIn.

We are a remote-first company with more than 500 employees around the world. Our culture has helped us be recognized by Inc Magazine as a "Best Workplace" and one of the 10 hottest SaaS startups in NY for multiple years in a row. 

The best and brightest minds in technology are at SecurityScorecard, to empower businesses and government partners around the world with the trust and confidence needed to make smarter, faster decisions. Join us! 

What you’ll do

You’ll be applying data science methods to a range of projects key to our business. These include:

• Working on our scoring algorithm to quantify cyber risk.
• Helping to develop new factors to add to our scoring methodology.
• Developing models to help us correctly attribute internet assets to organizations.
• Working with the Marketing team to develop data driven marketing content.

You’ll use a typical data science Python-based stack and a variety of machine learning and statistical analysis methods.

You’ll be a key member of our Data Science team and work alongside data scientists who have strong experience in machine learning, cyber security, and statistics.

Who you are:

• PhD or Master’s degree in a relevant area, or the equivalent experience.
• Very strong statistics, including working knowledge of non-normal distributions, statistical tests (e.g. z-test, t-test), confidence intervals, null-hypothesis tests etc. 
• Any experience with alternatives to randomized control trials, e.g. difference-in-differences is a huge positive.
• Proficiency in SQL and proven ability to manipulate data.
• Good knowledge of data visualization tools such as MATPLOTLIB, Altair, or Bokeh.
• Substantial (2+ years) experience with typical Python-based data science tools, with special focus on statistical tools (e.g. scikit-learn etc.).
• Familiarity with cloud computing and the use of tools such as Databricks

Your soft skills:

• Ability to communicate well in spoken and written English.
• Ability to work well with non-technical teams and colleagues.
• Ability to work cross-functionally.
• Excellent interpersonal skills.
• Focus on solving business problems and driving work to inclusion in the product.

Benefits: 

We offer a competitive salary, stock options, a comprehensive benefits package, including health and dental insurance, unlimited PTO, parental leave, tuition reimbursements, and much more!

SecurityScorecard 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 upon merit and do not discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital status, veteran, or disability status.