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 interest in cybersecurity, risk assessment, and applying emerging AI technologies to solve real-world problems.

Job Responsibilities:

• Research, develop, validate, and implement statistical and machine learning methodologies for cybersecurity risk assessment and prediction.
• Maintain and enhance Bitsight’s Security Ratings and Risk Vector scoring methodologies, ensuring accuracy, robustness, and explainability.
• Explore new cybersecurity, threat intelligence, and firmographic data sources to improve existing models and develop new capabilities.
• Explore and apply emerging AI/ML techniques and tools to solve complex cybersecurity problems.
• Develop and maintain scalable, reliable, well-documented, and tested code for data science models, scoring algorithms, and data processing pipelines.
• Monitor model performance, investigate anomalies, and identify opportunities for improvements.
• Communicate complex technical concepts and contribute to internal and customer-facing documentation.
• Anticipate technical issues at the product level and make design decisions to avoid them.

Job Requirements:

• 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.
• Certification/Specialized Skills: Git, Python/R, SQL; software SDLC and package/library development; shell/bash/command line scripting; big data stack (Spark/Hadoop);  applied machine learning, predictive modeling, statistical analysis, and model validation; data visualization and reporting tools; AWS; ability to manipulate, clean, and combine  large, complex disparate data sources; ability to read, learn, and evangelize algorithms and statistical methodologies from peer-reviewed literature; hands-on experience leveraging AI-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot) to improve coding, analysis, testing, and development productivity.

In addition to base salary, this role is eligible for participation in a bonus or commission plan and an equity grant. Bitsight also offers a competitive benefits package, including but not but limited to medical, dental, and vision insurance; paid parental leave; flexible time off; a 401(k) plan with employee and company contribution opportunities; life and disability insurance; and tuition reimbursement.

Belonging & Inclusion. Bitsight is proud to be an equal opportunity employer. This means we do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.

Culture. We put our people first. Bitsight offers best in class benefits. We devote the same energy to nurturing our company's inclusive culture as we apply to serving our customers' needs. Working at Bitsight will give you the opportunity to fulfill your professional goals and expand your skills.

Open-minded. If you got to this point, we hope you’re feeling excited about the job description you just read.  Even if you don’t feel that you meet every single requirement, we still encourage you to apply.  We’re eager to meet people that believe in Bitsight’s mission and can contribute to our team in a variety of ways.

Bitsight also provides reasonable accommodations to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email [email protected]. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

This role uses AI-assisted transcription during the interview process. All hiring decisions are made by our recruitment team.

Additional Information for United States of America Applicants:

Bitsight is committed to compliance with all fair employment practices regarding citizenship and immigration status.

Bitsight will not discharge, discipline or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about, discussed, or disclosed the compensation of the employee or applicant or another employee or applicant.

Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Qualified applicants with criminal histories will be considered for employment consistent with applicable law.

This position may be considered a promotional opportunity pursuant to the Colorado Equal Pay for Equal Work Act.