Manager II, Data Science (Audit Product Engineering)
Vienna, VA, United States
USD 78K-138K (estimate) Mid-level Full Time
Tasks
- Analyze large datasets
- Coach teams on data science methods
- Define KPIs and prioritize projects
- Develop reusable data products
- Drive model development validation deployment
- Ensure data quality and governance
- Implement DevOps best practices
- Implement continuous monitoring and continuous auditing
- Integrate models into audit workflows
- Lead data science team
- Maintain data product backlog
- Manage model lifecycle governance
- Oversee automation for audit lifecycle
- Partner on AI risk frameworks and controls
- Provide technical code and requirements review
- Research and integrate new data science technologies
- Visualize insights for stakeholders
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | Agentic AI | Automation | Azure AI | Azure AI Foundry | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Synapse | Azure Synapse Analytics | Continuous Auditing | Continuous Monitoring | Copilot Studio | Data Factory | Data Governance | Data Lake Storage | Data Quality | DevOps | Lines of Defense | Machine Learning | Model Risk Management | Model risk | Power BI | Predictive Modeling | Python | R | Release Management | Risk Management | SQL | Synapse Analytics | TensorFlow | Three Lines of Defense | UAT
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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