Senior Data Scientist

📋 Description

• 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.
• 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.

🎁 Benefits

• Stock options
• Health benefits
• Unlimited PTO
• Parental leave
• Tuition reimbursements