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 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 Role:

We are looking for a data scientist who will work closely with our marketing team to create interesting business insights based on the data of our security ratings platform. The ideal candidate will have experience in data analysis, machine learning, and statistical modeling. They will be responsible for analyzing large datasets, identifying trends, and creating predictive models to help drive business decisions.

This role requires a mixture of business acumen and technical expertise, along with an ability to build strong partnerships with business partners.  Success in the role will require a self-starter with a passion for collaborating with others to solve problems. The ideal candidate will be an inquisitive learner with a passion for data science who can collaborate with stakeholders across functional areas while aligning to corporate objectives.

Responsibilities:

• Work closely with the marketing team to identify key business questions and develop data-driven content.
• Analyze large datasets using statistical methods and machine learning techniques.
• Develop predictive models to help drive business decisions.
• Communicate findings and insights to stakeholders across the organization.
• Collaborate with cross-functional teams to develop new products and features.
• Provide clear visualizations and present analyses to Executive-Level Stakeholders, using Business Intelligence tools and predictive analytics to drive key decisions.
• Participate in ad hoc projects around strategic initiatives. 
  

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
• 4+ years of experience in data analysis, machine learning, or statistical modeling.
• Strong programming skills in Python or R.
• Experience with RedShift and/or SnowFlake.
• Experience with SQL and NoSQL databases.
• Excellent communication skills and ability to work collaboratively in a team environment
• Exceptional visual storytelling skills.
• Fast learner with high attention to detail.
• Top-notch work ethic and ability to work independently and meet deadlines in a fast-paced environment.
  

Benefits:

We offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!  This is a remote role for USA and Canada professionals.

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 talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and 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