Assistant Director, Data Science (STP)

• Research and develop predictive analytic tools.
• Leverages knowledge to create/design solutions for business needs.
• Mines large data sets using sophisticated analytical techniques to generate insights and inform business decisions.
• Identifies and tests hypotheses, ensuring statistical significance, and builds 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.
• Enables the business to make clear tradeoffs between and among choices, with a reasonable view of the likely outcomes.
• Customizes analytic solutions to specific client needs.
• Responsible for larger components of projects of moderate to high complexity.
• Guides aspects of project design as a technical consultant for the team.
• Regularly engages with the data science community and participates in cross functional working groups.

Telecommuting permitted up to 60%.

Requirements:                 

Employer will accept a Ph.D. degree (or foreign equivalent) in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study or related field and 2 years of experience in the job offered or in an Assistant Director, Data Science-related occupation.

Alternatively, employer will accept a Master’s degree (or foreign equivalent) in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study or related field and 4 years of experience in the job offered or in an Assistant Director, Data Science-related occupation.

Position requires demonstrable experience in the following, which can be gained in an academic or professional setting:

1. Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
2. Giving effective training and presentations to peers, management or less senior business leaders.
3. Using results of analysis to persuade stakeholders to a particular course of action.
4. Demonstrated ability to drive impact based on key business goals, including profitability and growth.
5. Demonstrated knowledge of statistical modeling approaches including GLM theory and constrained optimization
6. Demonstrated expertise in advanced mathematical and statistical theory
7. Demonstrated expertise developing and evaluating predictive analytic models.
8. Collaborating with colleagues and participating in cross-functional teams, engaging in research or technical projects.
9. Insurance rating engines including training on Earnix.

Telecommuting permitted up to 60%.

Multiple positions available.

To apply, please visit https://jobs.libertymutualgroup.com/, select “Search Jobs,” enter job requisition #2026-74543 in the “Job ID or Keywords” field, and submit resume. Alternatively, you may apply by submitting a resume via e-mail to RecruitLM@LibertyMutual.com. Reference requisition number in subject of e-mail.