Assistant Director, Data Science: Claims & Service

Broad conceptual understanding and practical knowledge of the end-to-end data science lifecycle. Exceptional hands-on data science technical skills (e.g. SQL, Python, and Statistical Inference). Experience collaborating with non-technical stakeholders to understand which problems need solving, design solutions, and bring them to market. Experience working with complex Type II data to assemble training datasets to appropriately model operational processes. Proficiency in Python and MLOps practices, with experience in version control (Git), code review, collaborative development workflows (e.g., GitHub/GitLab), and model versioning/experiment tracking (e.g., MLflow). Knowledge of claims handling processes and experience working with claims data. Experience developing LLM-based solutions for production use cases. Practical experience with cloud platforms like AWS (preferably), Google Cloud, or Azure. Familiarity with data pipeline and workflow management tools like Airflow, among others. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU. Ability to give effective training and presentations to peers, management and less senior business leaders. Ability to use results of analysis to persuade team or department management to a particular course of action. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 5+ years of relevant experience.