Senior Data Scientist
Core
End-to-end ownership of machine learning models for financial data enrichment, risk assessment, and transaction categorization, driving business outcomes in the embedded finance sector.
Role type
Senior IC machine-learning engineer (financial services)
Builds
Production ML models for transaction categorization, reversal detection, NER parsing, payments risk, and balance forecasting
Domain
Fintech / Embedded Finance / Open Finance
Deliverable
production ML models
Required skills
Python, SQL, model training pipeline design, model deployment to served endpoints, production model monitoring (drift/performance), experimental design, statistical validation, champion-challenger evaluation, system design for ML
Preferred skills
PyTorch, HuggingFace, classical ML frameworks, Google Cloud Platform, BigQuery, MLflow, Kubeflow, FastAPI, containerized deployment, Azure DevOps
Technologies
Python, SQL, Google Cloud Platform, BigQuery, PyTorch, HuggingFace, MLflow, Kubeflow, FastAPI, Azure DevOps
Responsibilities
Frame ML problems and write design/RFCs, build and train models, deploy to shared serving endpoints, monitor model quality in production, conduct rigorous evaluation and retraining, collaborate with Data Engineering and product teams on deployment contracts
Seniority
Senior, hands-on IC
