Data Scientist
Tasks
- Build ETL strategies and analytics workflows
- Build scalable data pipelines
- Clean normalize validate data
- Design experiments test hypotheses build predictive models
- Develop natural language processing and machine learning solutions
- Develop statistical and econometric solutions
- Engineer data analytic solutions and prototypes
- Evaluate data security and continuity of operations
- Extract transform aggregate data
- Integrate structured and unstructured data sources
- Prepare documentation technical designs and training materials
- Research design develop data visualization
- Train evaluate test deploy maintain machine learning models
- Troubleshoot and support existing analytics products
Perks/Benefits
- Contingent upon additional funding
- Public Trust background investigation required
- US citizenship or permanent resident status required
Skills/Tech-stack
AWS | Agile | Azure | Azure Data | Azure Data Factory | Azure DevOps | Business Intelligence | Connection strings | Continuous Delivery | Continuous integration | DAX | Data Factory | Data Governance | Data Lakehouses | Data Lakes | Data Mining | Data Pipelines | Data Quality | Data Visualization | Data Warehousing | Data access | Databricks | ETL | Econometrics | GitHub | JDBC | JavaScript | Language Processing | Machine Learning | Mathematical Modeling | Microsoft Power | Microsoft Power Platform | Natural Language | Natural Language Processing | ODBC | ODBC Connection Strings | Power Apps | Power Automate | Power BI | Power Platform | Power Query | Predictive Analytics | Process Automation | Python | R | REST APIs | Relational databases | Robotic Process | Robotic Process Automation | SQL | Statistical Analysis | Text Mining | Web Scraping
Education
Roles
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