Senior Data Scientist (Fraud Detection and Investigative Analytics)
Washington, District of Columbia, United States - Remote
R
USD 113K-158K (estimate) Senior-level Full Time
Tasks
- Build supervised and unsupervised models
- Build visualizations and dashboards
- Calibrate and select best fit models
- Collaborate with criminal investigators on analytic strategies
- Coordinate machine learning data engineering architecture
- Deliver findings to investigative staff and executives
- Design advanced statistical and machine learning models
- Develop automation and programming techniques
- Develop case leads for investigations
- Develop repeatable data combining processes
- Document models for criminal evidentiary requirements
- Identify new business questions for analysis
- Perform data quality analysis
- Review loan fraud indicators
Perks/Benefits
- 401k matching
- Dental insurance
- Health savings account
- Life insurance
- Medical insurance
- Online training
- Paid Holidays
- Paid time off
- Vision insurance
Skills/Tech-stack
AWS | Azure | Bayesian Methods | Classification | Clustering | Ensemble Methods | Entity Resolution | GCP | Graph analytics | Language Processing | Machine Learning | Model Explainability | Natural Language | Natural Language Processing | Network Analysis | Pandas | PostgreSQL | Power Apps | Power BI | Python | Record Linkage | Regression | SHAP | SQL | SQL Server | SharePoint | Statistical modeling
Education
Roles
Regions
Countries
States
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