Lead Fraud Data Scientist
New York, San Francisco, Miami
R
USD 164K-230K (estimate) Senior-level Full Time
Tasks
- Apply clustering and outlier detection
- Build dashboards for KPIs
- Build fraud detection models
- Define machine learning strategy for fraud team
- Deploy and monitor models in cloud
- Design and execute A/B tests
- Detect lending fraud typologies
- Engineer features for fraud detection
- Integrate ML scores with rule engines
- Investigate emerging fraud patterns
- Mentor junior data scientists
- Perform data exploration
- Perform network analysis
- Train validate deploy and monitor models
Perks/Benefits
- Dental insurance
- Health insurance
- Hybrid work option
- Performance bonus
- Remote work
- Stock options
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | CI/CD | CatBoost | Clustering | Fairness | GCP | Graph analytics | Isolation Forest | K-Means | K-Nearest Neighbors | K-nearest | LIME | Lasso | LightGBM | Logistic Regression | Looker | MLOps | Machine Learning | Model Explainability | Nearest neighbors | Neo4j | NetworkX | Outlier Detection | Pandas | Python | Ridge | SHAP | SQL | Sampling techniques | Scikit-learn | Tableau | Vertex AI | XGBoost
Education
N/A
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
Regions
Countries
States
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