Job Locations US-MA-Boston

ID

2026-75680

Position Type

Full-Time

Minimum Salary

USD $161,803.00/Yr.

Maximum Salary

USD $174,000.00/Yr.

Flexible Time Off Annual Accrual - days

20

• Tasked with reengineering the way USDS approaches the entire modeling pipeline within the Data Science Tools team of Infrastructure of USRM Data Science.
• Primary goal will be to architect and construct modeling tools and pipelines to massively enhance the ease of iteration, evaluation, and deployment of models and thereby enhance the productivity of the entire USDS department by orders of magnitude.
• Build tools and processes to empower other people.
• Strong understanding of insurance data science, specifically with insurance pricing and modeling processes.
• Being proactive, highly technical, and driven by a desire to help others and push the boundaries of what we think is possible.
• Position requires domestic (U.S.) travel up to 10%.
• Telecommuting permitted up to 60%.

Employer will accept a Bachelor’s degree (or foreign equivalent) in Computer Science or Data Science or related field and 5 years of experience in the job offered or in a Assistant Director, Data Science (STP)-related occupation.
Alternatively, the employer will accept a Master’s degree (or foreign equivalent) in Computer Science or Data Science or related field and 4 years of experience in the job offered or in a Assistant Director, Data Science (STP)-related occupation.
Position requires demonstrable experience with the following:

• Insurance pricing and underwriting.
• Insurance statistical modeling in Emblem including input data creation and output model formats.
• Writing Python and SQL with production level ML and Dev Ops code standards including modular and tested code.
• Version control with git.
• Performing open-source Python package development with GitHub including GitHub projects and Issues, GitHub Actions, Pull Requests, automated linting and formatting, and test-driven development.
• Demonstrated understanding of the data science modeling process from dataset creation through model deployment including feature engineering and statistical modeling.
• Statistical modeling including GLMs, GBMs, Random Forest, clustering, and neural networks.
• Modeling pipelines using Airflow, Luigi or Celery with model versioning in MLFlow.
• AWS cloud infrastructure (EC2, EMR and S3).
• Current state of the Python open-source ecosystem packages including polars, pandas, h2o, sklearn, lightgbm, and pydantic.
• Ability to evaluate the newest Python packages for inclusion into our tools.
• Demonstrated ability to operate within a large organization and move the company forward with new technological solutions.
• Ability to communicate tooling best practices and tool updates via presentations, email and posts, and the ability to train and mentor data scientists on tooling best practices and tool updates.
• Proven ability to debug multi-layered problems through a suite of tools.
• Demonstrated ability to gain trust of data scientists and partner with them to solve their coding problems.
• Position requires domestic (U.S.) travel up to 10%.
• Telecommuting permitted up to 60%.
• Multiple Positions Available.

REFER TO: To apply, please visit https://jobs.libertymutualgroup.com/, select “Search Jobs,” enter job requisition #2026-75680 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.

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.

At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.

We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits

Liberty Mutual is an equal opportunity employer. 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.

Fair Chance Notices

• California

• Los Angeles Incorporated

• Los Angeles Unincorporated

• Philadelphia

• San Francisco

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