Staff Data Scientist

BitSight Technologies; Boston (MA); On-site; USD 125,000 - 189,000; Full time

Benefits offered by this job

Health insurance

Parental leave

Flexible time off

401(k)

Life and disability insurance

Tuition reimbursement

Job summary

Bitsight is seeking a Staff Data Scientist to develop predictive cyber risk models and improve its Security Ratings and Risk Vector methodologies. You will collaborate with Engineering, Product, Marketing, and Customer Success to deliver robust, scalable data-driven solutions.

The role requires MS degree (PhD preferred) in a quantitative field, 1+ year staff experience, and strong skills in Python/R, SQL, AWS, and ML. Hybrid work and equity are offered.

Qualifications

• MS degree required; PhD preferred in quantitative field.
• 1+ year staff-level experience in industry.
• Experience modeling risk for rare events is desirable.
• Proficiency with Git, Python/R, SQL; big data stack; ML, modeling, validation; data viz and reporting; AWS.

Responsibilities

• Research and implement statistical and ML methods for cybersecurity risk assessment.
• Maintain and enhance Security Ratings and Risk Vector scoring methodologies.
• Explore new data sources to improve models and capabilities.
• Apply AI/ML techniques to solve complex cybersecurity problems.
• Develop scalable, well-documented data science pipelines and models.
• Monitor model performance and investigate anomalies.
• Communicate technical concepts and contribute to docs.
• Anticipate product-level design issues and address them proactively.

Skills

Git

Python/R

SQL

Spark/Hadoop

Applied ML

Predictive modeling

Statistical analysis

Data visualization

AWS

AI-assisted tools

Education

MS degree

PhD preferred

Tools

Spark

Hadoop

Claude Code

Cursor

GitHub Copilot

Job description

About the Company

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.

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.

Compensation and Benefits

The anticipated hiring base salary range for this position is 125,000.00 - 189,000.00 USD Annual for US-based employees. This range reflects the minimum and maximum target for new hire salaries for the position across all US locations, is based on a full-time work schedule, and is Bitsight’s good faith estimate as of the date of this posting. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. In addition to base salary, this role is eligible for participation in a bonus or commission plan and an equity grant.

• 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
• 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.

Accommodations

This role uses AI-assisted transcription during the interview process. All hiring decisions are made by our recruitment team. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email [e-mail]. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

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.

About Bitsight (repeat)

Bitsight is a cyber risk management leader transforming how companies manage exposure, performance, and risk for themselves and their third parties. Global enterprises, governments, and organizations rely on Bitsight to prioritize their cybersecurity investments, build greater trust within their ecosystem, and reduce their chances of financial loss. When unrelenting market pressure pushes organizations to uncertainty and caution, they turn to Bitsight to confidently navigate cyber risk and grow with confidence. Bitsight’s universally recognized risk standard and market-leading data provides actionable insights into how companies set and manage to standards and report results to internal and external stakeholders. Built on over a decade of technological innovation, Bitsight’s integrated solutions deliver value across enterprise security performance, digital supply chains, cyber insurance, and data analysis. Bitsight is on a mission to free the global economy from the material impact of cyber incidents.