Data Scientist III - Insurance & Generative AI (Hybrid- Webster or Boston)
Tasks
- Build generative AI use cases
- Collaborate with IT to implement and scale solutions
- Create automated reports and dashboards
- Create executive presentations and technical documentation
- Define KPIs and measure economic impact
- Design agent based generative AI workflows
- Develop and refine prompts
- Develop machine learning solutions
- Identify new data sources and analytical techniques
- Implement MLOps for batch and real time environments
- Improve data quality and feature engineering
- Lead predictive model development and deployment
- Manage end-to-end project execution
- Mentor junior team members
- Monitor model performance reliability stability in production
- Own model lifecycle development validation deployment monitoring
- Present model performance analysis
- Research innovative algorithms and generative AI approaches
- Translate analytics into business insights
- Work with sparse high dimensional time series data
Perks/Benefits
- Employee discounts
- Flexible work options
- Health coverage
- Internal mobility
- Leadership programs
- Paid time off
- Retirement plans
- Tuition reimbursement
Skills/Tech-stack
Agent-based | Agent-based AI | Dashboards | Data Governance | Data Quality | Feature Engineering | Generative AI | MLOps | Machine Learning | Model Monitoring | Predictive Modeling | Prompt engineering | Series analysis | Statistical Analysis | Time Series | Time Series Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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