Staff Data Scientist

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 3000 customers trust Bitsight
• Over 750 teammates are dispersed throughout Boston, Raleigh, New York, Lisbon, Singapore, and remote

Job Responsibilities:

• Develop and implement statistical methodologies based on cyber security and firmographic data.

• Research additional data sources to help bolster Bitsight’s cyber risk assessment models

• Contribute to a robust and automated testing framework that ensures the accuracy and repeatability of the results that are produced.

• Contribute to and manage the Bitsight toolboxes and codebases for data-science-driven data pipelines, product features, and services.

• Create and sustain well-documented, validated, and tested code that can be operationalized or integrated into product services.

• Contribute to creating technical content for customer-facing documentation and training activities.

• 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; statistical analysis; 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

Diversity. 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 …