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Senior Data Scientist

SecurityScorecard
Full Timesenior
Canada, Kentucky, USPosted March 21, 2026

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Job Description

About the position

We are looking for a talented and driven Senior Data Scientist to join our fast-moving, growing Data Science team leveraging our vast and unique cybersecurity data assets. As a Senior Data Scientist, you will play a crucial role in developing and implementing advanced machine learning models that drive insights and enhance our cybersecurity platform. You will work on challenging problems, collaborate with cross-functional teams, and contribute directly to the success of our products.

Responsibilities

  • Build, evaluate, and deploy machine learning models for cybersecurity risk scoring, threat intelligence, and vendor risk assessment.
  • Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets.
  • Evaluate and validate models, ensuring their accuracy, robustness, and scalability.
  • Collaborate with product managers and engineers to define data science requirements and integrate models into production systems.
  • Contribute to code reviews, design discussions, and data science best practices.
  • Stay current on new research and technologies to ensure we leverage state-of-the-art methods.
  • Communicate findings and recommendations effectively to both technical and non-technical audiences.

Requirements

  • Advanced degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Mathematics) or equivalent professional experience applying data science to complex problems.
  • 5+ years of experience applying data science and machine learning to real-world challenges.
  • Proficient in Python and ML/data science frameworks (e.g., scikit-learn, XGBoost, MLFlow, Databricks).
  • Experience working with cloud-based data pipelines (AWS, GCP, or similar).
  • Solid understanding of ML algorithms, evaluation metrics, and model deployment.
  • Effective communicator and team player with a passion for solving hard problems.

Nice-to-haves

  • Prior exposure to cybersecurity, threat intelligence, or risk scoring a significant plus.
  • Prior exposure and interest in LLMs is a plus.

Benefits

  • Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

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