Senior Data Scientist (NLP and Unstructured Data Analytics)
Washington, District of Columbia, United States - Remote
R
USD 120K-174K (estimate) Senior-level Full Time
Tasks
- Build supervised and unsupervised models
- Build visualizations and dashboards
- Collaborate with criminal investigators on analytic strategies
- Combine and analyze large data sources
- Coordinate with data engineering for ML and text pipelines
- Create automation techniques using business tools
- Deliver findings to investigative staff and executive leadership
- Develop case leads from model outcomes
- Develop statistical and machine learning models for fraud and noncompliance
- Document methodology test and production models for evidence requirements
- Identify new business questions for analysis and reporting
- Integrate and scale natural language processing methods
- Maintain loan fraud indicators
- Parse clean and analyze unstructured text
- Perform data quality analysis
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
Amazon Web Services | Anomaly Detection | Azure | Bayesian Methods | Classification | Cloud platform | Clustering | Data Visualization | Document Classification | Embeddings | Ensemble Methods | Entity Resolution | Entity recognition | Excel | Google Cloud | Google Cloud Platform | Language Models | Language Processing | Large Language Models | Machine Learning | Named Entity Recognition | Natural Language | Natural Language Processing | Optical character recognition | Pandas | PostgreSQL | Power Apps | Power BI | Python | Regression | Retrieval-Augmented Generation | SQL | SQL Server | Semantic Search | Semantic similarity | SharePoint | Statistical modeling | Topic Modeling | Vector Stores | Web Services
Education
Roles
Regions
Countries
States
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