Senior Data Scientist

📋 Description

• Build, evaluate, and deploy ML models for cybersecurity risk scoring.
• Explore data to identify patterns, trends, and anomalies.
• Evaluate and validate models for accuracy and scalability.
• Collaborate with product and engineering teams to integrate models.
• Contribute to code reviews, design discussions, and best practices.
• Stay current on new research and technologies to leverage state-of-the-art methods.

🎯 Requirements

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

🎁 Benefits

• Stock options, health benefits, unlimited PTO, and parental leave.
• Tuition reimbursements and country-specific perks.
• EEOC commitment; accommodations available (talentacquisitionoperations@securityscorecard.io).