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SecurityScorecard is the global leader in cybersecurity ratings, continuously rating over 12 million companies across 64 countries. Founded in 2013 and backed by world-class investors including Silver Lake Waterman, Moody's, Sequoia Capital, and GV, the company has raised over $110M and serves 25,000+ organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting.
The Senior Data Scientist role is a key individual contributor position on the growing Data Science team, focused on developing and implementing advanced analytical models that drive insights and enhance the cybersecurity ratings platform.
Key responsibilities include:
- Building, evaluating, and deploying machine learning models for risk scoring, threat intelligence, and vendor risk assessment
- Performing exploratory data analysis to identify patterns, trends, and anomalies in large, complex datasets
- Evaluating and validating models for accuracy, robustness, and scalability
- Collaborating with product managers and engineers to define data science requirements and integrate models into production systems
- Contributing to code reviews, design discussions, and establishing data science best practices
- Staying current on research and emerging technologies to leverage state-of-the-art methods
- Communicating findings and recommendations to both technical and non-technical audiences
Required qualifications:
- Advanced degree in a quantitative field (Computer Science, Statistics, Mathematics) or equivalent professional experience
- 5+ years applying data science and machine learning to real-world challenges
- Proficiency in Python and ML/data science frameworks (scikit-learn, XGBoost, MLFlow, PyTorch)
- Experience with cloud-based data pipelines (AWS, GCP, or similar)
- Solid understanding of ML algorithms, evaluation metrics, and model deployment
- Strong communication and teamwork skills with passion for solving complex problems
Desirable qualifications include prior exposure to cybersecurity, threat intelligence, risk scoring, LLMs, or Scala. The role offers competitive salary, stock options, health benefits, unlimited PTO, parental leave, and tuition reimbursement.
