SecurityScorecard
·Artificial Intelligence
Senior Data Scientist
About this role
Join SecurityScorecard's Data Science team to build ML models for cybersecurity risk scoring and threat intelligence. You'll develop advanced analytical models, work with large-scale datasets, and integrate solutions into production systems serving 25,000+ organizations.
Must have
Advanced degree in quantitative field or equivalent professional experience
5+ years experience applying data science and machine learning to real-world challenges
Proficiency in Python and ML/data science frameworks
Experience with cloud-based data pipelines on AWS, GCP, or similar platforms
Solid understanding of ML algorithms, evaluation metrics, and model deployment
Effective communication skills for technical and non-technical audiences
Prior exposure to cybersecurity, threat intelligence, or risk scoring preferred
Interest in LLMs preferred
Working knowledge of Scala preferred
Technologies
Responsibilities
Build, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment
Perform exploratory data analysis to identify patterns, trends, and anomalies in large complex datasets
Evaluate and validate models ensuring accuracy, robustness, and scalability
Collaborate with product managers and engineers to define requirements and integrate models into production
Contribute to code reviews, design discussions, and data science best practices
Stay current on new research and technologies to leverage state-of-the-art methods
Communicate findings and recommendations effectively to both technical and non-technical audiences
Benefits
Recruitment process
Join growing Data Science team at global leader in cybersecurity ratings
Company serves over 25,000 organizations across 64 countries
Culture recognized as Best Workplace by Inc Magazine and other awards
No immigration sponsorship provided for this position
Estimated total compensation includes base salary plus bonus
