Senior Machine Learning Data Scientist

📋 Description

• Own the ML model lifecycle from requirements to deployment.
• Translate fraud signals into scalable ML solutions.
• Design and maintain feature engineering pipelines.
• Monitor production models; track drift and retrain needs.
• Partner with leadership, product, and eng to define fraud strategy.
• Foster continuous learning and collaboration across teams.

🎯 Requirements

• Hands-on, proactive, analytical with data-driven approach.
• Bachelor’s degree or higher in a quantitative field.
• 3+ years building ML systems in production.
• Strong Python and SQL.
• Strong ML fundamentals: modeling, eval, features, failure modes.
• Hands-on PyTorch, scikit-learn, and XGBoost.
• Located within continental United States.

🎁 Benefits

• Collaborative, diverse team environment.
• Full medical, dental, and vision benefits.
• Stock in an early-stage startup.
• Generous, flexible paid time off.
• 401(k) with financial guidance from Morgan Stanley.