Senior Data Scientist (Internal Audit Product Engineering)
Vienna, VA, United States
USD 55K-75K (estimate) Entry-level Full Time
Tasks
- Build workflow automation solutions
- Collaborate with auditors and stakeholders
- Conduct model based trend analysis
- Design develop and maintain audit data products
- Develop agentic AI solutions
- Document and present analysis findings
- Enable continuous monitoring
- Ensure data governance and data quality
- Identify opportunities for audit coverage improvement
- Lead small projects
- Perform population based analytics
- Provide data-driven insights
- Support automated control testing
Perks/Benefits
Skills/Tech-stack
AI Foundry | AI ethics | AWS | Acceptance Testing | Agile | Alteryx | Automation | Azure AI | Azure AI Foundry | Azure Data | Azure Data Lake | Continuous Monitoring | Copilot Studio | Dashboarding | Data Analysis | Data Governance | Data Lake | Data Lineage | Data Management | Data Quality | Databricks | Exploratory Data Analysis | Hadoop | Machine Learning | Microsoft Copilot | Microsoft Copilot Studio | NumPy | Pandas | Power Apps | Power Automate | Power BI | PySpark | Python | R | SAS | SPSS | SQL | Scala | Scikit-learn | UAT | Unit Testing | User Acceptance | User Acceptance Testing
Education
Roles
Regions
Countries
States
Cities
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