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 tot his job Apply To this Job