Data Scientist
Arlington, VA, United States
USD 132K-170K (estimate) Senior-level Full Time
Tasks
- Analyze structured and unstructured data
- Build and train machine learning models
- Clean and normalize data
- Conduct experiments and validate hypotheses
- Create actionable intelligence for fraud detection
- Create reports and dashboards using business intelligence tools
- Design and develop data visualizations
- Design and implement data extraction and ETL strategies
- Develop predictive analytics models
- Develop project documentation and training materials
- Develop statistical and mathematical analytical solutions
- Evaluate data security and continuity of operations
- Perform natural language processing
- Troubleshoot and support analytics solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Artificial Intelligence | Azure | Azure Data | Azure Data Factory | DAX | Data Factory | Data Governance | Data Lakehouse | Data Lakes | Data Mining | Data Quality | Data Visualization | Data Warehouse | Data access | Databricks | Development Lifecycle | ETL | Econometrics | JavaScript | Language Processing | Machine Learning | Microsoft Power | Microsoft Power Platform | Natural Language | Natural Language Processing | ODBC | Optimization | Power Apps | Power Automate | Power BI | Power Platform | Power Query | Predictive Analytics | Process Automation | Python | R | Relational Database | Robotic Process | Robotic Process Automation | SQL | Simulation | Software Development Lifecycle | Software development | Spatial Statistics | Statistical Analysis | Text Mining
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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