Lead Data Scientist – Insurance
| Company | Guardian Life |
|---|---|
| Location | Boston, MA, USA, Holmdel, NJ, USA, Pittsfield, MA, USA, New York, NY, USA, Bethlehem, PA, USA |
| Salary | $148940 – $244685 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- PhD with 6+ years of experience, Master’s degree with 8+ years of experience, or Bachelor’s degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field
- 7+ years of hands-on ML modeling/development experience
- 2+ Years experience working within Insurance Industry
- Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP)
- Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks
- Strong programming skills in Python
- Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
- Excellent analytical and problem-solving abilities with superb attention to detail
Responsibilities
- Build and lead a high performing group of data scientists
- Stay current with developments in ML and AI innovations, industry trends, challenges, and potential market opportunities
- Lead and mentor other team members
- Manage business stakeholders from ideation to deployment and aftercare
- Support use case development that includes initial data exploration, project/sample design, reception, and processing of data, performing analysis and modeling to creation of final report/presentation
- Utilizing advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs
- Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Propose innovative ways to look at problems through using data mining and data visualization
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
- Present information using data visualization techniques; communicate results and ideas to key decision makers
- Ensure data accuracy and consistent reporting by performing regular data quality control, prepare and maintain reports, and troubleshoot data anomalies
- Attend industry conferences to stay current on industry trends, challenges, and potential market opportunities
- Contribute to standardization of Data Science tools, processes, and best practices
Preferred Qualifications
- Knowledge of Individual Markets or Direct to Consumer Insurance experience is a major plus