Lead Risk Data Scientist & ML Engineer
US GA ATL 201, United States
USD 127K-192K (estimate) Senior-level Full Time
Tasks
- Build batch and real-time data pipelines
- Create explainable auditable model documentation
- Define detection strategies based on fraud patterns
- Deliver detection models end to end
- Deploy agentic workflows for risk operations
- Design AI assisted analyst workflows with LLMs
- Design develop validate deploy model serving
- Ensure BSA AML OFAC and FinCEN alignment
- Lead cross-functional project teams
- Manage model governance and change management
- Monitor model performance and refine using production data
- Provide mentorship for data scientists and engineers
- Track precision recall false positives and alert quality
- Translate regulatory and operational requirements into technical plans
Perks/Benefits
- N/A
Skills/Tech-stack
AML Transaction Monitoring | AWS AgentCore | AWS Glue | AWS Lambda | Amazon EventBridge | Amazon SageMaker | CI/CD | Databricks | Fraud Detection | Git | GitHub Actions | Infrastructure automation | LLM | Langchain | MLOps | Machine Learning | Model Monitoring | Model Risk Management | Model risk | Python | Retraining Pipelines | Risk Management | SQL | Snowflake | Transaction monitoring
Education
N/A
Roles
Data Scientist | Engineer | Lead | Lead Data | Lead Data Scientist | Learning Engineer | MLOps Engineer | Machine Learning Engineer | Scientist
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