Bitsight is a cyber risk management leader transforming how companies manage exposure, performance, and risk for themselves and their third parties. Companies rely on Bitsight to prioritize their cybersecurity investments, build greater trust within their ecosystem, and reduce their chances of financial loss. Built on over a decade of technological innovation, its integrated solutions deliver value across enterprise security performance, digital supply chains, cyber insurance, and data analysis.
We invented the cyber ratings industry in 2011 Over 3500 customers trust Bitsight Over 600 teammates are dispersed throughout Boston, Raleigh, New York, Lisbon, Singapore, and remote The opportunity: Methodology data scientists at Bitsight are responsible for researching, developing, and implementing statistical and machine learning methodologies to assess cybersecurity risks and help organizations better understand and manage their cyber exposure. As a Staff Data Scientist, you will play a key role in developing predictive cyber risk models, maintaining and enhancing Bitsight’s Security Ratings and Risk Vector methodologies, and translating complex analytical solutions into scalable production systems. You will collaborate closely with Engineering, Product Management, Marketing, Customer Success and other teams to develop robust, explainable, and data-driven solutions to complex cybersecurity problems.
The ideal candidate has a strong background in statistics, machine learning with an