Bitsight
Bitsight is a global cyber risk management leader transforming how organizations 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 market-leading innovation, Bitsight’s integrated solutions deliver value across enterprise security performance, digital supply chains, cyber insurance and data analysis.
501 - 1000 employees
Founded 2013
Data Scientist
Job not on LinkedIn
October 1
Bitsight
Bitsight is a global cyber risk management leader transforming how organizations 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 market-leading innovation, Bitsight’s integrated solutions deliver value across enterprise security performance, digital supply chains, cyber insurance and data analysis.
501 - 1000 employees
Founded 2013
📋 Description
• Applies ML/AI techniques under guidance to support product development such as asset management, entity resolution, and cyber risk assessment in security datasets. • Assists in preparing, cleansing, and analyzing large-scale security data to uncover patterns, risks, and opportunities for automation. • Prototypes and tests ML/AI models under guidance, applying appropriate techniques for the problem at hand. • Demonstrates progressively increased understanding of BitSight’s security data stack. • Documents findings, maintains reproducible workflows, and shares progress with teammates to support ongoing research and product development.
🎯 Requirements
• Bachelor degree required in Data Science, Statistics, Engineering, Applied Mathematics, Computer Science, Industrial Engineering & Operations Research or other quantitative field. • Programming skills in Python and SQL. • Familiarity with big data frameworks such as Spark/Hadoop. • Ability to read, learn, and apply ML and AI tools for solving business problems. • Exposure to working with structured and unstructured data, including text and graphical data. • Interest in cybersecurity (preferred). • Exposure to cloud services like AWS and GCP (preferred). • Familiarity with Git or other version control systems (preferred).
🏖️ Benefits
• Best in class benefits • Remote work (Portugal) • Inclusive culture and belonging initiatives • Reasonable accommodations for qualified individuals • Opportunities for professional growth and skill development
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