We’re committed to putting people first – if you need an accommodation as you go through the job searching, application, and interviewing process, please click here for more information.
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This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. This is a range posting. Level of position offered will be based on skills and experience at manager discretion. This role may have in-office requirements based on candidate location. In this role, you can expect to: Lead the design, development, and maintenance of scalable and efficient data pipelines and ETL/ELT processes to support analytics and pricing models. Architect and implement high performance data integration solutions using modern tools and cloud services (AWS preferred) with attention to latency, throughput and cost. Implement and maintain automated data quality and testing frameworks (unit, integration, regression, anomaly detection) to ensure data correctness and trust for downstream analytics Collaborate with cross functional teams, including data scientists, product analysts, software engineers, to gather requirements, design solutions, and provide technical guidance for production launches Optimize and tune data infrastructure for performance, scalability, reliability and cost-efficiency (query tuning, partitioning, resource configuration, storage formats such as Parquet/Delta). Mentor and guide junior data engineers, promoting engineering best practices, code review and thoughtful design. Stay up-to-date with advancements in data engineering, evaluate new tools and recommend adoption where appropriate. Identify opportunities to apply Gen AI for data discovery, lineage summarization, automated documentation, query generation and developer productivity (prompt engineering and code generation) Incorporate Gen AI capabilities into data workflows and developer tooling and help operationalize safe, cost-effective Gen AI integrations. The ideal candidate will: Have strong technical aptitude with data extraction and data engineering platforms (Python, Spark/PySpark, SQL, cloud computing: AWS and Snowflake). Demonstrate 5+ years of experience building production data pipelines and platforms, with both batch and streaming experience Possess hands-on experience with data quality testing frameworks and practices, and experience implementing automated data tests and validation. Have practical experience collaborating in Agile teams and applying Agile best practices (sprint planning, refinement, retrospective). Have excellent communication skills and the ability to work with technical and non-technical stakeholders. Preferred qualifications: Familiarity with ML pipelines and supporting feature stores or feature engineering workflows (Databricks). Prior mentoring or technical leadership experience. Qualifications Strong written and oral communication skills required Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred Master`s in same or related disciplines strongly preferred 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake. About Us 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. 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Programming proficiency - Meaningful experience with Python (e.g., pandas, NumPy, openpyxl, or similar libraries) and/or other automation tools. Problem-solving mindset - Demonstrated ability to look at a complex manual process and engineer a smarter solution. Self-starter attitude - You don't wait to be told what to build next; you identify the need and get to work. Experience with workflow automation tools (e.g., SQL, VBA, R, Power Automate, or similar). Familiarity with version control systems such as Git. Exposure to data visualization tools (e.g., Power BI, Tableau, or Python-based dashboards). Experience working in an Agile or iterative development environment. Intellectually Curious - You love learning new skills and aren't afraid to venture outside your actuarial comfort zone. Driven & Motivated - You set high standards for yourself and take pride in delivering quality work. Builder Mentality - You're energized by creating things that didn't exist before and seeing others benefit from your work. Clear Communicator - You can translate complex technical concepts for both actuarial and non-technical audiences. Detail-Oriented, Big-Picture Thinker - You sweat the details without losing sight of the broader strategic goal. Bachelor's degree required; Master's degree preferred. Associateship or Fellowship in the Casualty Actuarial Society (ACAS/FCAS) designation preferred or comparable education/designation with relevant experience. Minimum 5-7 years relevant experience required. Sound knowledge of actuarial techniques and standards, as well as other business operations including financial, underwriting, legal, statistics, claims, sales, etc. Advanced communication and interpersonal skills and ability to build relationships and interact effectively with others within and outside the organization. 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Build USDS pricing programs in Earnix. Design and implement other use cases of Earnix as a rating engine. Ensure accuracy of all pricing and non-pricing outputs from Earnix. Design and maintain rigorous data models for Earnix analytical projects and API. As required, troubleshoot and support post launch queries and issues. Improve and automate processes where applicable. Engage with the data science community and participates in cross-functional working groups. Working familiarity with GLMs and GBMs for predictive modeling. Love insurance rating programs and want to get a deeper understanding of how they work. Frequently bring voices together to find patterns in business problems. Are comfortable challenging the status quo to make systems simpler, more robust, and scalable. Enjoy documenting and sharing best practices to accelerate the whole team. Get excited by delivering business critical, production-ready products. Experience creating rating logic and implementing rating programs in tools like Earnix, Radar Live, etc. Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Foundational/intermediate knowledge of predictive toolset; expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. 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 no professional experience, a Master`s degree (scientific field of study) and 2 to 3 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and 4+ years of relevant experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516122357", "isPrivate": false, "latlongs": "47.6061389,-122.3328481"}, {"id": 618516981966, "name": "Assistant Director, Data Science", "posting_name": "Assistant Director, Data Science", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States", "Portsmouth, New Hampshire, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1777985520, "t_create": 1777075260, "ats_job_id": "75750", "display_job_id": "2026-75750", "type": "ATS", "id_locale": "2026-75750-en", "job_description": null, "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516981966", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618516363793, "name": "Product Owner Director - Data Science and Analytics Tooling", "posting_name": "Product Owner Director - Data Science and Analytics Tooling", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Columbus, Ohio, United States", "Plano, Texas, United States"], "hot": 0, "department": "Product Management", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1778506440, "t_create": 1774532220, "ats_job_id": "75266", "display_job_id": "2026-75266", "type": "ATS", "id_locale": "2026-75266-en", "job_description": "Establish the strategic roadmap for value-added features enabling data delivery. 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Present analytical content concisely and effectively to non-technical audiences and influence non-analytical business leaders to drive major strategic decisions basis analytical inputs Coordinate, prioritize and efficiently allocate team resources to critical initiatives: plan resources proactively, anticipate and actively manage change, set stakeholder expectations as required, identify operational risks and enable the team to drive issues to resolution, balance multiple priorities and minimize surprise escalations. Experience in Power BI and associated advanced tooling experiences such as Copilot and Fabric Experience with SAS and SAS Viya Experience with at least one of the Cloud technologies: AWS, Azure, Snowflake or GCP Experience with at least one of the programming languages: Java, Python and Scala Experience in communicating recommendations to senior business leaders highly preferred. 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Independently works on prototyping/developing data solutions that meet the needs of the organization and business customers. Coding scalable proof-of-concepts and solutions. Stay up to date with advancements in data engineering, evaluate new tools and recommend adoption where appropriate. Identify opportunities to apply Gen AI for data discovery, lineage summarization, automated documentation, query generation and developer productivity (prompt engineering and code generation) Designs proof-of-concept solutions utilizing and advanced understanding of multiple coding languages to meet technical and business requirements with an ability to perform iterative solution testing to ensure specifications are met. Strive to become a technical leader and mentor for the team, providing assistance & guidance to junior team members Optimize and tune data infrastructure for performance, scalability, reliability and cost-efficiency Prioritizes efforts based on customer value and can set expectations for deliverables of high complexity. Ensure data solutions include activities and deliverables required to achieve high data quality and displays a strong understanding of complex, multi-tier, multi-platform systems, applying principles of metadata, lineage, business definitions, compliance and data security to project work. 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!important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} .fa-brands{-webkit-font-smoothing: antialiased; font-style: normal; font-variant: normal; line-height: 1; text-rendering: auto;font-family: 'Font Awesome 6 Brands'} .position-details li{list-style-type: disc;} .header-wrapper{display:none!important;}.disability p {text-align:center!important;background-color:#F0F0F0!important; height:45px!important;padding-top:12px!important;} .disability a {color:blue!important;text-decoration:underline!important;} @media only screen and (max-width: 1325px){.disability p {height:67px!important;}} @media only screen and (max-width: 675px){.disability p {height:92px!important;}} @media only screen and (max-width: 480px){.disability p {height:114px!important;}}h4{margin-top: 5px;font-weight: 600;}