Lead Data Scientist
Tasks
- Build and maintain machine learning pipelines and monitoring systems
- Communicate technical concepts to technical and non-technical stakeholders
- Define model development standards code quality and documentation
- Deploy and monitor models in production
- Design machine learning models for credit risk pricing collections fraud
- Lead end to end delivery of data science initiatives
- Mentor team members on analytical practices
- Partner with cross functional teams to integrate models into applications
Perks/Benefits
- 401k match
- Charitable donation match
- Commuter benefits
- Flexible time off
- Flexible work arrangement
- Paid parental leave
- Professional development budget
- Volunteering days
- Wellness reimbursement
Skills/Tech-stack
AWS | Cloud Computing | Credit Risk | Credit risk modeling | Databricks | Decisioning | Deep learning | Experimental Design | Feature Engineering | Feature Stores | Fraud Detection | Generalized Linear Models | Git | Gradient boosting | Linear Models | Machine Learning | Machine Learning Pipelines | Metaflow | Model Monitoring | Python | Real Time | Real-time analytics | Risk Modeling | SQL | SageMaker | Snowflake | Statistical modeling | Statistics | Tecton | Workflow Orchestration
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
Regions
Countries
States
Cities
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