Analyst I, Data Science

• Reengineer the way USDS approaches the entire modeling pipeline.
• 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.
• Create and maintain inner source Python packages for data scientists.
• Promote new tools and tool updates through department wide channels including text articles, emails, and presentations.
• Run batch model scoring jobs for pricing teams as needed (minimum monthly).
• Hold weekly programming office hours for data scientists in USDS to solve their coding problems.
• Domestic travel up to 10% required.
• Telecommuting permitted up to 60%.

Employer will accept a bachelor's degree (or foreign equivalent) in Computer Science, Data Science, Computer Systems Engineering, Industrial Engineering or a related field and four (4) years of experience in the job offered or in a related occupation.

Position requires demonstrable experience in the following:

• Insurance pricing and underwriting.
• Insurance statistical modeling in Emblem, including input data creation and output model formats.
• Ability to write Python and SQL with production level ML Ops code standards including modular and tested code.
• Version control with git.
• Demonstrated ability to perform 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 and MLFlow.
• AWS cloud infrastructure (EC2, EMR and S3).
• Current state of the Python open-source ecosystem packages including polars, pandas, h2o, sklearn, lightgbm.
• Demonstrated ability to operate within a large organization and move the company forward with new technological solutions.
• Communicating, mentoring, and problem-solving skills.
• Demonstrated ability to gain trust of data scientists and partner with them to solve their coding problems.
• Domestic travel up to 10% required.
• Telecommuting permitted up to 60%.

REFER TO: To apply, please visit https://jobs.libertymutualgroup.com/, select “Search Jobs,” enter job requisition #2025-71065 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.

As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits, and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally.

At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow.

We are dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers.  By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers.

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://LMI.co/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

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