Liberty Mutual is looking to solve business problems by applying data science techniques to manipulate large structured and unstructured data sets and generate insights to inform business decisions.
Requirements
- Demonstrated ability to code in Python.
- Demonstrated understanding of advanced optimization algorithms.
- Demonstrated ability to mathematically model business processes and identify the most effective and efficient approach to solve it.
- Demonstrated ability to build predictive models using latest ML and LLM architectures.
- Demonstrated understanding of MLOps standards.
- Demonstrated hands on experience with EDA.
- Demonstrated ability to query data using SQL.
Responsibilities
- Applies data science techniques; gains confidence in skill application using analytics and data science techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
- Identifies and tests hypotheses, ensuring statistical significance, as part of building predictive models for business application.
- Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
- Gains experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes.
- Assists in customizing analytic solutions to specific client needs.
- Responsible for smaller components of projects considered low to moderate complexity and may work on smaller components of complex projects.
- Engages with the Data Science community. Participates in cross functional working groups.
Other
- Travel required up to 10%.
- Telecommuting permitted up to 100%.
- Employer will accept a Ph.D. degree (or foreign equivalent) in Operations Research, Statistics, Industrial and Systems Engineering or a related field.
- Demonstrated ability to clearly communicate proposals and outcomes to the business.
- Liberty Mutual is an equal opportunity employer.
