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
Apply Now
Apply Now
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
Apply Now
Apply Now