Data Scientist
Washington, D.C., USA, 20171
USD 110K-166K (estimate) Mid-level Full Time
Tasks
- Analyze geospatial trends
- Apply AI and business intelligence technologies
- Apply security measures for sensitive data
- Build machine learning solutions
- Create dashboards and visualizations
- Design discrete event simulation models
- Develop predictive models
- Implement data validation and quality review
- Integrate structured and unstructured data
- Maintain geospatial analytics tools
- Perform data wrangling and ETL
- Prepare executive analytical reports
- Streamline KPI reporting
- Support model accreditation documentation
Perks/Benefits
- N/A
Skills/Tech-stack
ArcGIS | Business Intelligence | Classification | Clustering | Data Quality | Data Visualization | Data Warehousing | Data Wrangling | Databricks | Discrete Event Simulation | Discrete event | ETL | Ensemble Methods | Event simulation) | Geospatial Analytics | Geospatial Data | GitHub | Jupyter Notebook | KPI Reporting | Keras | Machine Learning | Matplotlib | Operations Research | Palantir Foundry | Power BI | Predictive Modeling | PyTorch | Python | Qlik | R | Regression | SQL | Scikit-learn | Seaborn | Statistical modeling | Tableau | TensorFlow | Time Series
Education
Roles
Regions
Countries
States
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