Senior Data Scientist
Washington, D.C., USA, 20171
USD 107K-195K (estimate) Senior-level Full Time
Tasks
- Apply operations research methods for decision support
- Conduct data quality monitoring
- Conduct population audits
- Create data visualizations and reporting artifacts
- Design model evaluation and validation frameworks
- Develop predictive modeling and machine learning solutions
- Develop reporting methodologies and business rules
- Evaluate business tools and provide recommendations
- Generate recurring and ad hoc reporting
- Integrate structured and unstructured data
- Perform feature engineering
- Provide UAT and validation for reporting tools
- Translate operational questions into analytical frameworks
- Validate population reports and filters
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | ArcGIS | B testing | Cross-validation | Data Quality | Data quality monitoring | Databricks | Decision analysis | Ensemble Methods | Feature Engineering | GIS | Machine Learning | Model Validation | Operations Research | Optimization | Power BI | Precision-recall | Predictive Modeling | Python | Qlik | Quality monitoring | Queuing Theory | R | SQL | Simulation | Supervised Learning | Tableau | Unsupervised Learning
Education
Roles
Regions
Countries
States
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