Head of Data & Machine Learning
Tasks
- Build data quality monitoring systems
- Build evaluation infrastructure for backtesting
- Design enterprise data ontology and governance
- Ingest data from multiple sources
- Iterate underwriting model and business logic
- Manage data science and data engineering team
- Monitor model drift and accuracy
- Own underwriting data pipelines end to end
- Provide code review and architectural guidance
- Serve inference results via API to quoting frontend
- Translate business and actuarial priorities into scoped work
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Backtesting | Claims data | Cluster computing | Data Architecture | Data Engineering | Data Governance | Data Modeling | Data Processing | Data ontology | Diagnosis Code | Distributed data | Distributed data processing | Drift Detection | Healthcare Data | Low Latency | Low-Latency Systems | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Procedure Code | Python
Education
N/A
Roles
Regions
Countries
States
Cities
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