About the role
The Risk ML team detects and mitigates financial crime and fraud. The data scientist builds, validates, and deploys machine learning models to prevent fraud in real time. This role also ensures data quality and collaborates with other teams to optimize model performance and deployment.
Our summary of the posting; the original is on the Mercury careers page.
What the posting requires
- Required
- SQL
- Python
- Data management
- Statistical modeling
- Machine learning
- Data analysis
- ML
- ML model deployment
- Large datasets
- Preferred
- LLMs
- Data pipelines
- GenAI
- ETL
- Risk detection
- Dbt
These tags are our reading of the posting. They can miss something; the original posting is the reference.