Director of Data Science
New York City
Applications have closed
SecurityScorecard
10x your security performance with the world's most powerful, AI-driven platform that identifies and eliminates cyber risk across all of your attack surfaces.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 we are looking for:
SecurityScorecard is hiring for a Director of Data Science. You will lead a team that’s responsible for data science projects that directly affect Security Scorecard’s business and you will execute your own data science projects using machine learning methods.
We’re looking for a candidate who is business and results focused and who can work with other teams (Product, Sales Engineering, Engineering, etc.) to deliver projects on time.
The position is fully remote and we will employ candidates anywhere in the US or Canada. It reports to the VP of Data Science.
Qualifications and background
- PhD or MS in relevant quantitative discipline. PhD preferred.
- 5+ years data science experience.
Leadership requirements
- 2+ years as a manager with 3+ direct reports, including at least one pay and performance review cycle.
- Proven track record of on-time project delivery, including non-technical projects. Demonstrated ability to take projects from concept through to implementation.
- Proven record of working with other teams (including non-technical teams), for example, Customer Success, Sales Engineering, Product etc.
- Ability to get things done in a corporate environment.
Skills
- Strong experience with typical Python cloud-based data science stack.
- Strong experience with all aspects of machine learning, including techniques such as XGBoost, neural nets, SVM etc.
- Excellent communicator in spoken and written English.
- Use of project management tools (e.g. Kanban boards) to track projects to completion.
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, skillsets, 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, or marital, veteran, or disability status.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Engineering Kanban Machine Learning PhD Python Security XGBoost
Perks/benefits: Career development Competitive pay Equity Flex vacation Health care Insurance Parental leave Unlimited paid time off
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