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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Our data engineers write code that turns trillions of bits of information into structured data--data that our hundred-plus Data Scientists analyze with cutting-edge modeling techniques to unlock insights. From there, our tools and deployment teams ensure this data can be practically applied to business problems across US Retail Markets. Join us and be a part of this dynamic group driving industry-leading data segmentation, fueling the team's success now and into the future. The Auto Product Design and Modeling team has an opening for a Director II, Data Science position that will drive pricing sophistication for personal auto products and lead our Agency Channel Core team. In this highly visible role, you would have the opportunity to shape our Personal Auto pricing segmentation for years to come, including the convergence of our products across channels. The role will report directly to the Auto Design Agency Lead and manage a team of 4-6 analysts, potentially in multiple locations. FCAS or other insurance designations Expert skills in statistical software packages (e.g., Emblem, Python packages) highly desired. Strong knowledge of insurance principles, underwriting and ratemaking concepts High-level knowledge of data sources, tools, and the business (lines, systems, pricing plans), predictive modeling (GLMs, GBMs, Elastic Nets), and code (e.g. Python, R, SQL) preferred. Deep knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset, to include highly technical tools. Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent. Demonstrated ability to exchange ideas and convey complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which s/he interacts. Ability to establish and build relationships within and outside the aligned functional area or SBU. Ability to give effective training and presentations to management and other groups. Presents to senior or functional department leaders or executives. Broad knowledge of business drivers and market context. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study) and 5 to 7 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) with 10 years of relevant experience. Own the accuracy of our pricing segmentation for our Agency Personal Auto product, including incorporating innovative features and modeling techniques Facilitate convergence and automation efforts that aim to improve our efficiency and speed to market Build and develop a team of best-in-class modelers Support the rollout of new pricing models across US Auto products, including in complex markets Establish yourself as a self-driven leader, providing both strategic and tactical direction in the US Personal Lines Auto space Build strong relationships with leaders across the organization to maximize the impact of our product builds and to help implement new pricing programs into market every 12 to 18 months", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503444382", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618503019853, "name": "Analyst II/Assistant Director, Data Science, Solaria Labs", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Data Science", "business_unit": "3033-Enterprise Strategy & Innovation-US", "t_update": 1741980180, "t_create": 1741904160, "ats_job_id": "69251", "display_job_id": "2025-69251", "type": "ATS", "id_locale": "2025-69251-en", "job_description": "Collaborate with cross-functional teams across the enterprise to develop innovative predictive and generative AI solutions and solve Liberty's most challenging data science problems. Apply knowledge of sophisticated analytics techniques to manipulate large structured and unstructured datasets in order to generate insights to inform business decisions. Identify and tests hypotheses as part of building and developing predictive and generative models for business applications. Translate quantitative analyses and results into accessible visuals and high-level presentations for non-technical audiences to help stakeholders interpret the data. Enable the business to make trade-offs among choices, with a reasonable view into likely outcomes. Customize machine learning solutions to specific client needs. Develop solutions to loosely defined problems with guidance from teammates as you iterate on approaches. Regularly engage with the data science community and participate in cross-functional working groups. Assistant Director: $149,000 - $197,500. Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Advance 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. Analyst II: Competencies typically acquired through 0-1 yrs. of related experience with a Ph.D., a minimum of 2-3 yrs. of experience with a master's degree, a minimum of 4+ yrs. of experience with a bachelor's degree. Assistant Director: 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 (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience. Breadth of knowledge with feature engineering, traditional machine learning, deep learning, and generative AI. Familiarity with common machine learning frameworks (e.g. scikit-learn, PyTorch, Hugging Face, etc.). Highly skilled in at least one data science discipline (e.g. computer vision, NLP, etc.). Curiosity, ability to learn quickly, and a problem solving mindset. Demonstrated ability to collaborate with cross-functional teams, interact with business stakeholders to understand the business problem, and explain complex concepts clearly and concisely. Knowledge or experience with integrating multiple modalities (e.g., vision, language, audio) for advanced AI solutions. Understanding of DevOps principles and MLOps practices to ensure smooth model deployment, monitoring, and continuous improvement. Experience contributing to open-source data science and machine learning projects.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503019853", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618502587427, "name": "Senior Data Analytics Engineer, USRM Modeling Data Solutions", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1745441940, "t_create": 1739820060, "ats_job_id": "68773", "display_job_id": "2025-68773", "type": "ATS", "id_locale": "2025-68773-en", "job_description": "Design, develop, and optimize data pipelines and ETL processes to ensure high-quality data is available for analysis. Analyze complex datasets to identify trends, patterns, and actionable insights that drive business performance. Implement data quality checks and governance best practices to ensure data accuracy and reliability. Utilize Python, Spark, and SQL queries to extract, transform, and analyze data from various sources. Work closely with cross-functional teams to understand their analytical needs and provide tailored solutions that meet business objectives. Stay current with industry trends, emerging tools, and best practices in data analytics and engineering to continuously enhance analytical capabilities. 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502587427", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618502587431, "name": "Principal Data Analytics Engineer, USRM Modeling Data Solutions", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1741875600, "t_create": 1739820060, "ats_job_id": "68772", "display_job_id": "2025-68772", "type": "ATS", "id_locale": "2025-68772-en", "job_description": "Lead the development, optimization, and maintenance of scalable data pipelines and ETL processes to support the organization's analytical needs. Conduct complex data analysis to identify trends, patterns, and insights, identifying issues and changes with the data and communicating solutions to stakeholders. Gather requirements through collaboration with data scientists, analysts, and business stakeholders to provide tailored analytics solutions. Implement and enforce data quality and governance standards to ensure data accuracy, reliability, and security. Design and implement robust data models that facilitate data accessibility and efficient querying for analysis and reporting. Utilize Python, Spark, and SQL queries to build robust data solutions and for profiling data. Stay informed of industry trends, tools, and best practices in data analytics and engineering, and apply this knowledge to enhance the team's capabilities. Mentor and provide guidance to junior data analytics engineers and analysts, fostering a culture of learning and collaboration. 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. 5-7+ 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. 5-7+ years experience as developer with top quadrant Business Intelligence tools.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502587431", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618503545761, "name": "Senior or Principal Data Solutions Analyst, Operational Data & Reporting", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States"], "hot": 0, "department": "Analytics", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1744829580, "t_create": 1744389720, "ats_job_id": "69726", "display_job_id": "2025-69726", "type": "ATS", "id_locale": "2025-69726-en", "job_description": "Provides, builds and maintains data solutions to meet the needs of our business partners and ensures these solutions can be scaled appropriately. Independently works on highly complex assignments and prototyping/developing data solutions that meet the needs of the organization and business customers. Coding scalable proof-of-concepts and solutions. 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. Acts as a technical leader and mentor for the team, providing assistance & guidance to lower-level team members Design and develops data solutions that enable effective self-service data consumption and can describe their value to the customer. Influences strategic thinking across the team and the broader organization Identifies and utilizes best practices and iterative testing to ensure requirements are met. Prioritizes efforts based on customer value and can set expectations for deliverables of high complexity. Able to lead projects and collaborate with stakeholders to ensure effective project execution. Assist in the creation of roadmaps for data solutions and turn vague ideas or problems into a data product. 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. Create ad-hoc reporting on Adobe analytics Build ETL pipelines using SQL, SAS 5+ years coding experience specifically with SQL and Python 5+ years application experience with Power BI and SAS 5+ years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in ETL, scripting languages (Python, Perl, Shell) 5+ years experience as developer with top quadrant Business Intelligence tools 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 ETL, Java, scripting languages (Python, Perl, Shell)", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503545761", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618502537201, "name": "Full Stack Software Engineer, Data & Analytics Engineering", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1741699200, "t_create": 1739284800, "ats_job_id": "68676", "display_job_id": "2025-68676", "type": "ATS", "id_locale": "2025-68676-en", "job_description": "Work in a dynamic and exciting agile environment with Engineers, Scrum Masters, and Product Owners to develop creative full stack data-driven solutions that meet business and technical initiatives Improve speed to market by focusing on current Data Science and modeling data needs as well as building out the long-term strategic data solutions using AWS, Java, Python, Lambda, as well as other modern data technologies Design and develop programs and tools to support ingestion, curation and provisioning of complex enterprise data to achieve analytics, reporting, and data science Analyze data and technical system problems to design and implement effective, flexible solutions Handle end-to-end development, including coding, testing, and debugging during each cycle Develop automated tests for multiple scopes (Unit, System, Integration, Regression) Experience building data solutions using AWS, Java, Python, Lambda, React, as well as other modern data technologies Bachelor`s degree in technical or business discipline or equivalent experience Generally, 3+ years of professional experience Strong oral and written communication skills; presentation skills Proficient in negotiation, facilitation and consensus building skills Proficient in new and emerging technologies Business function(s) and of business operations Design and development tools Architectures and technical standards Thorough knowledge of layered systems architectures and layered solutions and designs; understanding of shared data engineering concepts Proficiency in multiple programming languages and tools Understanding of agile data engineering concepts and processes Must be proactive and demonstrate initiative and be a logical thinker Consultative skills, including the ability to understand and apply customer requirements, including drawing out unforeseen implications and making recommendations for design, the ability to define design reasoning, understanding potential impacts of design requirements Collaboration, prioritization, and adaptability skills required", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502537201", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618503730164, "name": "Dir I, Data Solutions", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Finance & Accounting", "business_unit": "0022-Corporate Finance-US", "t_update": 1745331300, "t_create": 1744921680, "ats_job_id": "69828", "display_job_id": "2025-69828", "type": "ATS", "id_locale": "2025-69828-en", "job_description": "Lead an analysis team to standardize financial data across domains. Drive delivery of data management products partnering with Global Finance Technology data engineering teams. Create standards and best practices to track and document the data transformations from source to target. Create and share metrics to track progress and show customer value across all stakeholders. Leads a team to use best practices and iterative testing to ensure requirements are met. Acts as a technical resource and mentor for staff. Works with stakeholders in defining metrics that are impactful to the business. Prioritizes efforts based on customer value. Manage projects and collaborate with stakeholders to ensure effective project execution. Acts as a change agent across the organization. Leads the team in effectively transferring knowledge via documentation and process management. Creates roadmaps for data solutions. Turns vague ideas or problems into a data product strategy. Influences strategic thinking across the team and the broader organization. Ensures data solutions include activities and deliverables required to achieve high data quality. Bachelors Degree in business or data discipline At least 3-5 years of insurance background required, financial background a plus Strong analytical and relationship skills as we work across business, IT, and corporate stakeholders on complex insurance product models 7-10 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack Able to identify stakeholder and customer pain points and strategically address those concerns Able to describe value and influence the prioritization of data solutions Able to organize and balance resources to address customer pain points Guides a team to break down data issues and resolve them, by prototyping data solutions to meet the needs of both the organization and business customers Strong written and oral communication skills required", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503730164", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618503322305, "name": "Senior Cloud Data Engineer, Investments Technology", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1744037640, "t_create": 1743432660, "ats_job_id": "69494", "display_job_id": "2025-69494", "type": "ATS", "id_locale": "2025-69494-en", "job_description": "Does the thought of building a modern cloud-based data platform from the ground up excite you? If yes, then join us and be part of a team that's forging the path to data-driven success. Note: This role has a hybrid work arrangement in our Boston, MA office (2x/week) We have a large and varied customer base, supported by strategic business units that function as a complete investment firm within our Fortune 100 Company. Our investment professionals are critical to our ability to keep our promises to policyholders, claimants, and their families. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. A bachelor's degree in technical or business discipline, or equivalent experience 5+ years of experience in data engineering, with a proven track record of designing, building, and optimizing scalable data pipelines and architectures Expert-level proficiency in SQL and strong experience with Python for data transformation, automation, and orchestration Deep understanding of data modeling, data warehousing, and data architecture best practices Hands-on Experience with modern public cloud-based data platforms - Snowflake (preferable), AWS, Azure Advanced proficiency in AWS services including (but not limited to): S3, Glue, Lambda, EC2, and Athena Proficient with ETL/ELT data pipelines, patterns for loading Data Warehouses, Lakes Solid experience with DevOps practices and automation frameworks, including CI/CD pipelines, GitHub Actions, Bamboo, and pipeline-as-code principles Skilled in BI/reporting tools (e.g., Power BI, Tableau) Previous experience in Investments / Asset Management, Finance Data modeling, is highly desirable. Familiarity in building and consuming APIs (REST, API Gateway, etc.) Cognizance of security concerns, from access control and authentication to secured processes. Knowledge of containerization and orchestration tools (e.g.: Docker, Kubernetes) A comprehensive understanding of agile environments and the ability to adapt to rapidly changing circumstances. Work in Data and Analytics squad to design, develop, and enhance the data and analytics solutions and pipelines, driving data-driven decision-making processes. Collaborate with scrum masters, product owners, and engineering teams to iteratively create data and analytics solutions that meet both business and technical requirements. Work closely with development team in building Innovative, cloud native solutions using AWS, Snowflake, Python, Rest API etc. Continuously enhance full delivery pipeline through automation, expanded yet increasingly efficient test coverage, ultimately optimizing time-to-market and overall quality Optimize and fine-tune existing data pipelines for performance, scalability, and reliability. Implement data quality checks and monitoring processes to ensure data accuracy and consistency. Stay current with industry trends and best practices in data engineering and recommend improvements to existing processes. Mentor junior engineers in the team; collaborate in technical documentation; participate in code reviews and adhering to engineering excellence/best practices. Strong advocate for design thinking, clean code, and test-driven development", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503322305", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618502755455, "name": "Principal SAS Data Engineer", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States", "Indianapolis, Indiana, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1743429120, "t_create": 1741101960, "ats_job_id": "69063", "display_job_id": "2025-69063", "type": "ATS", "id_locale": "2025-69063-en", "job_description": "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. Description We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance. This role has a hybrid work schedule (2 days onsite) and we are considering candidates based in Portsmouth, NH, Boston, MA, Plano, TX, Indianapolis, IN and Columbus, OH. Job introduction: The EDATA (Enterprise Data & Analytics Technology) organization is actively searching for a highly productive Principal SAS Data Engineer of a distributed, dynamic agile team to serve as a technical expert in analysis, design, coding and testing of our SAS analytic solutions. Under general direction, acts as a technical expert who consults on highly complex projects. Responsible for the analysis, development and execution of complex data solutions, in order to manage the information lifecycle needs of an organization. Collects, integrates and analyzes organizational data with the purpose of drawing conclusions about that information. Develops, constructs, tests and maintains data architectures for data platforms, databases, analytical/reporting, or data science systems. Establishes and builds data systems including providing standards, policies, best practices, procedures, governance and quality assurance for data analytics deliverables. Recommends methods to improve data reliability, quality, and efficiency. Devises or modifies procedures to solve technical problems. Leads and directs the work of team members. May mentor junior team members. About the job: Enhance and strengthen the support model and triaging capabilities in collaboration with our offshore support partners. Act as a thought leader by establishing standards, guardrails, and best practices for SAS analytics tooling, and drive governance and compliance. Leverage observability, data, and platform costs to identify and recommend opportunities for improvement, addressing complex technology gaps within business processes. Collaborate with the Data Office and stakeholders to analyze workloads and recommend strategies for improving efficiency, while actively driving the implementation of those recommendations. Document existing processes, organizational structures, architectures, and external systems for clarity and knowledge sharing. Contribute to the development and enhancement of solutions, ensuring alignment with business needs. Support engineers during implementation, including cutover plans, post-implementation support, issue resolution, transition planning, and knowledge sharing. Communicate effectively and gather feedback from stakeholders to ensure alignment and support. Proactively identify potential impacts on business strategy, driving vision and cross-functional collaboration to achieve strategic objectives. Qualifications Bachelor or Master`s degree in technical or business discipline or equivalent experience, technical degree preferred. Minimum 8+ years of Data Engineering experience. In-depth knowledge of IT concepts, strategies, and methodologies. Possess extensive experience in building, designing, troubleshooting, and coding SAS processes/workloads, with deep user-level knowledge of SAS. Familiarity with diverse and emerging technologies, as well as new architectural concepts and principles. Knowledgeable in data engineering languages and tools; proficient in new and emerging technologies. Proficient in data engineering languages and tools, including Python, SAS, R, SQL, and DB warehouse technologies; knowledgeable in new and emerging technologies. Understanding of code management practices and monitoring tools, along with GitHub. Strong understanding of layered solutions and designs; comprehensive understanding of shared data engineering concepts, product features, and security considerations. Strong understanding of layered solutions and designs; comprehensive understanding of shared data engineering concepts, product features, and security considerations. Highly developed negotiation, consensus building & influencing skills, facilitation, and the adaptability to respond to change quickly. Exceptional oral and written communication skills; strong presentation capabilities. Proven ability to effectively collaborate with all levels of the organization. About Us 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 proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage. 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. 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