Senior Machine Learning Data Scientist

📋 Description Own the ML model lifecycle from requirements to deployment with ML engineers Translate fraud patterns into ML solutions; define scope and success criteria Design and maintain feature engineering pipelines for model development Monitor production model quality, data drift, and retraining needs Partner with leadership, GTM, fraud ops, product, and eng teams on fraud strategies Champion continuous learning and collaboration across data science teams 🎯 Requirements Bachelor’s degree or higher in quantitative field 3+ years building and deploying ML systems in production Strong Python and SQL proficiency Strong ML fundamentals: model selection, evaluation, feature engineering Hands-on experience with PyTorch, scikit-learn, XGBoost Located within the continental United States 🎁 Benefits Diverse, collaborative team environment Generous, flexible paid time off Stock in an early-stage startup 401(k) with Financial Guidance from Morgan Stanley