Senior Data Scientist
Washington, D.C., USA, 20171
USD 107K-195K (estimate) Senior-level Full Time
Tasks
- Architect machine learning solutions
- Create executive briefings and reports
- Deploy models in production
- Design scalable data architecture
- Detect model drift
- Develop deep learning algorithms
- Develop discrete-event simulation models
- Develop forecasting and scenario planning
- Evaluate AI/ML platforms
- Implement MLOps pipelines
- Maintain geospatial capabilities
- Monitor model performance
- Optimize logistics and resource allocation
- Prepare models for DHS accreditation
- Provide technical mentorship and code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
ArcGIS | Bayesian Methods | CI/CD | DVC | Data Architecture | Data Pipelines | Data Warehousing | Databricks | Deep learning | Discrete Event Simulation | Discrete event | Ensemble Methods | Event simulation) | GIS | Geospatial Analytics | HPC | High Performance | High-Performance Computing | Jupyter Notebook | Keras | Logistics optimization | MLflow | Machine Learning | Multi-Objective Optimization | Objective optimization | Operations Research | Palantir Foundry | Performance Computing | Power BI | PyTorch | Python | Qlik | R | RMarkdown | Random Forest | Scikit-learn | Tableau | TensorFlow | XGBoost
Education
Roles
Regions
Countries
States
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