Senior Data Scientist

📋 Description

• Build, evaluate, and deploy ML models for risk scoring and vendor risk.
• Analyze large datasets to identify patterns and anomalies.
• Ensure model accuracy, robustness, and scalability in production.
• Collaborate with product and engineering teams to define DS requirements.
• Contribute to code reviews and DS best practices.
• Stay updated on new research and share findings with stakeholders.

🎯 Requirements

• Advanced degree in a quantitative field or equivalent experience.
• 5+ years of DS/ML experience.
• Proficient in Python and frameworks (scikit-learn, XGBoost, MLFlow, PyTorch).
• Experience with cloud data pipelines (AWS, GCP, or similar).
• Strong ML fundamentals, evaluation, and deployment knowledge.
• Effective communicator and collaborative team player.

🎁 Benefits

• Competitive salary and stock options.
• Health benefits and unlimited PTO.
• Parental leave and tuition reimbursements.