Liberty Mutual's US Retail Markets Data Science team needs to reengineer the way the department approaches the entire modeling pipeline to enhance the productivity of the entire USRM Data Science department by orders of magnitude.
Requirements
- Data extraction and manipulation skills, EDA, transformations, and general linear models (GLM); preferred skills of basic CART and GLM.
- Foundational knowledge of predictive analytics tools.
Responsibilities
- Design and implement modeling tools and pipelines to massively enhance the ease of iteration, evaluation, and deployment of models
- Develop strategies and roadmaps for how to push USRM Data Science expert teams to achieve dramatically improved processes
- Build and maintain Python packages for use across the organization
- Utilize pipelining tools such as Luigi, Airflow etc., modeling packages such as MLflow, h2o, sklearn, optuna, LightGBM etc, and Liberty Cloud offerings of Cortex and Runway
- Follow Data Science and MLOps best practices in collaboration with Enterprise Data & Data Science
- Keep up to date with the state-of-the-art developments in Data Science open-source frameworks and MLOps
Other
- Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
- Has a value driven perspective with regard to understanding of work context and impact.
- Competencies typically acquired through a Master
s degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and no professional experience or may be acquired through a Bachelors degree and 3+ years of relevant experience.
- This role may have in-office requirements based on candidate location.
- Level of position offered will be based on skills and experience at manager discretion
