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Staff Data Scientist

BitSight Technologies · Boston, MA · On-site

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About BitSight Technologies

AI-powered cyber risk intelligence platform. Continuous visibility into your attack surface, third-party ecosystem, and threats. Trusted by 3,500+ enterprises. Backed by Menlo.

About the role

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. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Education : MS required. PhD preferred in Statistics, Applied Mathematics, Computer Science, Physics, Engineering, or other Quantitative Science
  • Years of Experience: minimum 1 year equivalent industry experience at the staff level
  • Prior experience with the modeling of risk for rare events is desired
More about this role

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

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...

Read the full posting on BitSight Technologies's site ↗

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