Machine Learning Modeling Lead - Credit Modeling
San Francisco, California, United States
USD 200K-280K Senior-level Full Time
Tasks
- Build machine learning models
- Collaborate with implementation teams to deploy models
- Deploy machine learning models to production
- Develop features and feature engineering
- Evaluate new ML tools frameworks technologies
- Guide junior data scientists and engineers
- Lead end to end machine learning solution development
- Manage model documentation and reviews
- Monitor deployed models
- Perform data exploration
- Publish internal research and promote innovation
- Support validation queries for models
- Translate business banking challenges into data driven solutions
- Validate machine learning models
Perks/Benefits
Skills/Tech-stack
Airflow | Credit Risk | Credit Risk Scoring | Customer Segmentation | Decision Trees | Deep learning | Docker | Fraud Detection | Gradient Boosting Machines | Gradient boosting | Kubeflow | Kubernetes | MLflow | NumPy | Optimization | Pandas | PyTorch | Python | Random Forest | Regression | Risk scoring | SQL | Scikit-learn | Statistical modeling | TensorFlow | Unsupervised Learning | XGBoost
Education
Regions
Countries
States
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