Data Scientist

Data Science, Software Engineering, Application Programming Interface (API), REST (Representational State Transfer), Python Programming/Scripting Language, Risk Modeling, Risk, Source Code/Configuration Management (SCM), Amazon Web Services (AWS), Loans, Python Fast API Engineer (ML + Risk Modeling) “Strong hands-on experience with Python and Fast API (building production REST services).

Experience serving or integrating ML models in production (risk scoring, classification/regression, or similar).

Solid engineering practices: unit/integration testing, Git-based workflows, CI/CD, and API documentation (OpenAPI/Swagger).

Familiarity with model governance concepts: version control/lineage, monitoring, explainability/reason codes, audit logs.

Experience with AWS and/or model execution environments such as SageMaker”

“Design and develop REST APIs using Python + Fast API to serve real time model scoring for individual loans/customers and support batch scoring workloads.

Integrate APIs with upstream/downstream systems and ensure strong input validation and error handling.

Support model hosting & execution for Python-based models and enable flexible deployment patterns Implement model operational capabilities: versioning/lineage, audit trails, reason codes/explainability hooks, and champion challenger support where needed.