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Knowledge Graph Engineer at Johnson & Johnson focusing on biomedical data standardization and interoperability solutions. Contributing to healthcare innovation through data - driven technologies and collaborations.
About the role
- Data Scientist designing and delivering analytical models for casualty catastrophe risks in Boston or Jersey City.
Responsibilities
- Develop and enhance casualty catastrophe models and analytics addressing systemic and emerging liability risks
- Conduct statistical, mathematical, and data‑driven proof‑of‑concept analyses to inform model design and validation
- Translate research prototypes into scalable model components for production use
- Partner closely with product and software teams to implement model methodology into Verisk workflows
- Build and maintain model development pipelines using Python, SQL, Git, and AWS
- Analyze data from multiple sources to support model parameterization, testing, and improvement
- Perform validation, sensitivity testing, and robustness analyses
- Contribute to clear technical documentation outlining assumptions, methodology, and limitations
- Support client inquiries by explaining model behavior and results in a practical, accessible way
- Communicate technical findings to both technical and non‑technical audiences
- Stay current on advances in data science, modeling, and insurance analytics
Requirements
- A Bachelor's or Master’s degree in a quantitative field (e.g., statistics, mathematics, data science, actuarial science, economics, engineering, computer science)
- Professional experience in data science, statistical modeling, risk modeling, or a related field
- Strong programming skills in Python, plus experience with R and SQL
- Familiarity with Git‑based development workflows
- Experience using AWS or cloud‑based analytics environments
- The ability to take models from concept to implementation
- Strong analytical thinking, curiosity, and comfort working on complex, open‑ended problems
- Clear written and verbal communication skills, including explaining technical ideas to non‑technical audiences
- Strong organization, documentation, and collaboration skills
Benefits
- Health Insurance
- Retirement Plan
- Disability benefits
- Paid Time Off program
- Competitive total rewards package
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