Senior Data Scientist

About the Role:

Responsibilities:

• Build, evaluate, and deploy machine learning models for 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.
• Required Qualifications:
• Advanced degree in a quantitative field (e.g., 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.