About this role
Senior Data Scientist at SecurityScorecard building ML models for cybersecurity risk scoring and threat intelligence. Join a growing data science team working on production machine learning systems that protect millions of organizations worldwide.
Must have
Advanced degree in quantitative field or equivalent professional experience
5+ years experience applying data science and machine learning to real-world problems
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
Strong communication skills and ability to work collaboratively
Technologies
Responsibilities
Build, evaluate, and deploy machine learning models for risk scoring and threat intelligence
Perform exploratory data analysis on large complex datasets to identify patterns and anomalies
Evaluate and validate models for accuracy, robustness, and scalability
Collaborate with product managers and engineers to integrate models into production
Contribute to code reviews, design discussions, and data science best practices
Stay current on research and technologies to leverage state-of-the-art methods
Communicate findings effectively to both technical and non-technical audiences
Benefits
Recruitment process
Cybersecurity ratings platform serving over 25,000 organizations globally
Company rated over 12 million companies across 64 countries
Recognized as Best Workplace by Inc Magazine and Fast Company Most Innovative Company 2023
Funded by Silver Lake Waterman, Moody's, Sequoia Capital, GV, and Riverwood Capital
No immigration sponsorship provided for this position
Estimated total compensation includes base salary plus bonus
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