Assistant Director, Data Science: Renter's Portfolio

Das ist der Job

Otherwise, this role is remote with occasional travel.

Darum lohnt es sich

Overview The US Property & Specialty Product Design and Modeling team is looking for a sharp, driven Assistant Director to shape the future of pricing for our Renters portfolio. Reporting to the Specialty Senior Director, you'll collaborate closely with teams across US Data Science, Product Management, Delivery, and IT.

Why You'll Love this Role Real Ownership: Lead programs end‑to‑end, from model design to market deployments Senior Exposure: Influence strategy and present insights to senior leadership Cutting Edge Modeling: Explore and utilize next generation modeling techniques Data Science Community: Knowledge sharing and access to a large community of Data Scientists What You'll Do Own the pricing roadmap: Develop industry‑leading pricing programs in close collaboration with the Product team that unlock segmented, profitable growth opportunities across the Renters Portfolio.

Collaborate across functions: Partner with Delivery, Specialty Product, Program Management, IT, and other teams to ensure fast, effective launches. Analyze & iterate: Monitor Post Launch results and work hand‑in‑hand with business teams to refine go‑forward market strategy.

Ability to use results of analysis to persuade team or department management to a particular course of action. Benefits can be found online: https://LMI.co/Benefits Liberty Mutual is an equal opportunity employer.

You'll sit at the intersection of advanced data science, business strategy, and cross-functional leadership—building models that directly drive profitable growth. You'll have real ownership over high‑stakes pricing programs and the visibility to influence decisions at the senior level.

Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week.

Drive program rollouts: Lead end‑to‑end deployment of pricing programs—including model adjustments for regulatory requirements, documentation, and DOI objection responses. Innovate continuously: Identify new profitable growth opportunities by researching emerging modeling techniques and testing novel variables and new data sources.

Lead with influence: Communicate tradeoffs clearly, guide leadership toward best courses of action, and deliver on commitments. Qualifications 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.

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 in a scientific field of study and a minimum of 4 years of relevant experience, or a Bachelor's degree in a scientific field of study and a minimum of 5+ years of relevant experience.

Pay Philosophy The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location.

The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role.

Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.

We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.

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