Staff Data Scientist

Key Skills

AWS, Cyber Security, Data pipelines, Data science techniques, Git, Python Programming, R Programming, SQL

Job Description

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

Methodology data scientists at BitSight are responsible for researching, prototyping, and implementing statistical quantification methodologies for modeling and analyzing risk, loss, and psychometric/survey data. You will collaborate cross-functionally with Engineering, Product Management, Marketing, Customer Success and other teams. You will be responsible for creating and implementing well-designed, robust solutions to complex technical problems and for reviewing, scaling, and enhancing operationalized statistical models and algorithms. An interest in cyber security, risk quantification, and the modeling of complex, large, under-reported, and unbalanced data is desired.

Job Responsibilities:

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

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

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 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.

Additional Information for United States of America Applicants:

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 recruiting@bitsight.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

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