Data Scientist Principal (REMOTE) - Life Insurance Company
About the position
- Responsibilities
- Identify, research, and define large-scale AI/ML use cases in collaboration with business leaders and strategic partners.
- Guide end-to-end efforts to develop scalable, efficient, automated AI/ML solutions.
- Collaborate with IT architects to design and implement cutting-edge AI/ML solutions.
- Ensure AI/ML solutions are built using industry best practices and sound methodology.
- Design large, complex information assets that enable applied analytics.
- Simplify, modernize, and standardize the model development lifecycle.
- Lead or participate in talent development initiatives and technical interview panels.
- Translate complex analytical concepts to diverse audiences to promote data literacy.
- Provide technical oversight for building and maintaining a library of reusable algorithms.
- Develop and maintain academic and industry relationships for research purposes.
- Requirements
- Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, or a similar quantitative discipline.
- 10 years of progressive experience in predictive analytics or data analysis, including 6 years in training and validating advanced analytics models.
- 6 years of experience in a dynamic scripted language (e.g., Python, R) with a focus on code transparency.
- Subject matter expert in classical supervised modeling techniques.
- Subject matter expert in unsupervised modeling techniques.
- Deep hands-on experience in building and managing advanced analytics solutions.
- Extensive project management experience with a history of managing project milestones and risks.
- Experience guiding and mentoring junior technical staff.
- Experience explaining complex technology decisions to technical and non-technical audiences.
- Experience leading business transformation through advanced analytics.
- Nice-to-haves
- US military experience or a military spouse/domestic partner.
- 5 or more years of experience in developing and executing a holistic AI strategy.
- Experience implementing a framework to identify AI/ML use case opportunities.
- Knowledge of the Insurance Industry and applicable laws and regulations.
- Experience enhancing AI literacy within an organization.
- Benefits
- Comprehensive medical, dental, and vision plans
- 401(k)
- Pension
- Life insurance
- Parental benefits
- Adoption assistance
- Paid time off program with paid holidays
- 16 paid volunteer hours
- Various wellness programs
- Career path planning and continuing education support
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