Data Scientist
Washington, D.C., USA, 20171
USD 102K-150K (estimate) Mid-level Full Time
Tasks
- Co lead working groups and define technical requirements
- Conduct population audits
- Create data visualizations and reporting artifacts
- Design model evaluation and validation frameworks
- Develop predictive modeling solutions
- Draft reporting methodologies
- Execute recurring and ad hoc reporting
- Integrate structured and unstructured data
- Monitor data quality and anomalies
- Perform UAT and validation for implementations
- Perform feature engineering
- Recommend tools and support data pulls
- Validate populations and filters in reporting systems
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | ArcGIS | B testing | Classification | Clustering | Cross-validation | Data Visualization | Databricks | Ensemble Methods | Feature Engineering | GIS | GIS Data | Machine Learning | Model Validation | Oracle OBIEE | Power BI | Precision-recall | Predictive Modeling | Python | Qlik | R | Regression | SQL | Tableau
Education
Roles
Regions
Countries
States
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