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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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": 1747156200, "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": 1747145160, "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": 618502689059, "name": "Senior Data Scientist- Global Products", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States"], "hot": 0, "department": "Analytics", "business_unit": "0116-GRS-Actuarial-US", "t_update": 1743780240, "t_create": 1740590280, "ats_job_id": "68956", "display_job_id": "2025-68956", "type": "ATS", "id_locale": "2025-68956-en", "job_description": "Design and develop advanced deep learning models to aid pricing and risk selection for the fast growing cyber business. Design and fine-tune large language/vision models to glean valuable insights from different kinds of unstructured data. Develop and adopt the best-in-class MLOps best practices throughout the data science lifecycle Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions. Buildout in-house AI/ML products with other team members, including data scientists, IT developers, and business stakeholders Research and develop NLP, CV and other AI/ML models including LLMs, VLMs and GenAI applications to improve risk selection and pricing. Identifies and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business application. Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes. Customizes analytic solutions to specific client needs. Responsible for smaller components of projects of moderate-to-high complexity. Regularly engages with the data science community and participates in cross-functional working groups. 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. 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Develop an enablement strategy to deliver value-driven use cases aligned to business needs. Develop a maturity strategy focused on advancing data fundamentals. The initial focus of this role will be to develop a strategy to advance in risk management and data privacy. Other strategic projects will be assigned as needed. Update and present to senior leaders and executives to align on the vision and data impact. Define key performance indicators (KPIs) to measure the success of the data strategy. Communicate the data strategy and its progress to stakeholders to gain buy-in. Lead and oversee the execution of large-scale data initiatives and projects. Partner with product owners, analysts, and engineers to enable strategic initiatives. Foster a data-driven culture within the organization to encourage data literacy and data-driven decisions. Champion data initiatives and secure support from stakeholders at all levels. Demonstrated ability to design and execute strategies aligned with business goals. Proficient in translating complex data strategies into compelling narratives that drive decision-making. Expertise and experience in data governance, privacy, security, and risk management practices and can influence setting future state frameworks Demonstrated understanding of Data Analytics platforms and practices, particularly related to industry trends. Skilled in utilizing data visualization techniques to present insights in a storytelling format. Experienced in developing high-quality presentations using PowerPoint to clearly communicate key messages. Demonstrated expertise in communicating intricate topics effectively to varied stakeholders, including senior leaders. Experienced in analyzing data to provide compelling recommendations that drive decision outcomes. Demonstrated ability to manage and execute complex, long-term projects involving multiple teams across the organization. Strong knowledge of data warehousing platforms (i.e. Snowflake) BA/BS or Master's in Data Analytics, Business Administration, Information Managements, Operational Research or related field; 5-7+ years of experience working in data analytics, data governance, strategic or business planning, project management, and/or technical data management.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503500021", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618504307104, "name": "Sr Data Solutions Analyst", "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": 1746743100, "t_create": 1746199260, "ats_job_id": "70059", "display_job_id": "2025-70059", "type": "ATS", "id_locale": "2025-70059-en", "job_description": "Working with the Business, IT and Corporate Finance, this person will help shepherd data through our strategic data platform. Under limited direction, prototypes/develops data solutions of high complexity to meet the needs of the organization and business customers. Designs proof-of-concept solutions utilizing an advanced understanding of financial insurance knowledge and multiple coding languages to meet technical and business requirements. Ability to perform iterative solution testing to ensure specifications are met. Outstanding organizational skills and ability to manage multiple priorities while maintaining attention to detail and ensuring tasks are completed accurately and timely. Designs and develops data solutions that enables effective self-service data consumption, and can describe their value to the customer. Assists stakeholders in defining metrics that are impactful to the business. Prioritize efforts based on customer value. Has a strong understanding of Agile techniques and demonstrated experience in fostering cross-functional collaboration between business and technology teams. Works with IT to help scale prototypes. Maintains proof-of-concepts and prototype data solutions, and handles any assessment of their viability and scalability, with own team or in partnership with IT. Working with IT, assists in building robust systems focusing on long-term and ongoing maintenance and support. Ensures data solutions include deliverables required to achieve high quality data. Display a basic understanding of complex multi-tier, multi-platform systems, and applies principles of metadata, lineage, data dependencies and hierarchy, business definitions, compliance, and data security to project work. Has a strong understanding of Business Intelligence tools, including visualization and user experience techniques. Ability to create visual tools to display complex processes or concepts (Lucid or Mural experience a plus) Bachelor`s Degree in Math, Business, Computer Science, Computer Engineering, or related discipline preferred 3-5 years experience in coding for data management, data warehousing, or other data environments. 3-5 years of experience in accounting, finance or data analysis is preferred Insurance experience required Strong written and oral communication skills required Jira experience strongly preferred", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504307104", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618503865170, "name": "Assistant Director, Data Solutions - Liberty Mutual Investments", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1746633360, "t_create": 1745419200, "ats_job_id": "69934", "display_job_id": "2025-69934", "type": "ATS", "id_locale": "2025-69934-en", "job_description": "Help support LMI's enterprise data strategy, with a focus on driving business value, operational efficiency, and insight generation across the investment lifecycle. Own and evolve a portion of the data strategy roadmap?focused on moderate-to-high complexity areas?by identifying emerging needs, aligning with core capabilities, and adapting the roadmap as priorities shift. Collaborate across Data, Product, and Technology teams to support coordinated execution and ensure solutions remain aligned to the strategic roadmap. Translate complex business and investment requirements into clearly defined data strategies, use cases, and framing documents that drive decision-making and execution. Monitor best-in-class firms and emerging industry trends in asset management data strategy. Curate and socialize learnings with internal teams to influence roadmap direction and inspire new use cases. Act as a compelling storyteller, capable of synthesizing strategic insights and value narratives to gain stakeholder support and shape executive-level decision-making. Develop business cases and ROI models that articulate the value of data investments. Define impact metrics that demonstrate effectiveness and align with enterprise goals. Influence the sequencing and prioritization of data use cases, identifying cross-cutting themes and ensuring strategic, efficient capability build-out. 7-10 years of experience in data strategy, investment operations, analytics, or a related role within asset management, financial services, or insurance. Strong understanding of investment data domains, including portfolio holdings, transactions, classifications, and analytics. Demonstrated ability to translate business needs into data strategy and influence stakeholders across a matrixed organization. Familiarity with enterprise data platforms and tools (e.g., Snowflake, Power BI) and foundational knowledge of data governance or architecture. Excellent communication and storytelling skills, with the ability to synthesize complex ideas into actionable plans for both technical and business audiences. Strong analytical and strategic thinking skills; ability to identify patterns and opportunities across multiple domains and align them with organizational goals. 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Participates in peer development and code reviews within each Agile sprint, with focus on test driven development and Continuous Integration and Continuous Development (CICD). Analyze Snowflake metadata (Information schema) tables to understand the access pattern and create report. Design and build data access provisioning platform with API microservices and react Portal Design and develop programs and tools to support access provisioning, data security, data discovery and threat modeling. Bachelor's degree in technical or business discipline or equivalent experience, technical degree preferred. Generally, 3+ years of professional access management experience. Proficient in data access patterns and tools, and good proficiency in general programming languages and frameworks. Good understanding of agile and processes, such as CICD, pipelines, and iterative development and deployments Demonstratable experience in delivering solutions in Snowflake access management, BigID (Data Discovery). Experience in Java Spring boot (Microservice), JavaScript, React (UX) and SQL Must be proactive and self-driven, demonstrate initiative and be a logical thinker. Strong communication, collaboration skills with a track record of taking ownership of the Task. 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