What are the responsibilities and job description for the Senior Analyst, Data Science position at Liberty Mutual Insurance Group?
Manipulate large data sets and create predictive models (including data ingestion, feature engineering, validation, explainability, and production deployment, in partnership with product, operations, and engineering teams) Create and test hypotheses, design A/B experimentation, analyze results and statistical significance Conduct model performance evaluation or valuation sizing Follow ML Ops best practices to create organized code repos, production-quality code, and reproducible results Communicate quantitative analyses into easy-to-understand stories and actionable insights and recommendations to stakeholders Coach and mentor junior data scientists and foster a culture of continuous learning Regularly engage with the data science community, share knowledge, learn best practices and participate in cross functional working groups Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Advance knowledge of predictive toolset; expert resource for tool development. 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 0-1 yrs. of related experience with a Ph.D., a minimum of 2-3 yrs. of experience with a master's degree, a minimum of 4 yrs. of experience with a bachelor's degree.
