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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"t_create": 1749135240, "ats_job_id": "70557", "display_job_id": "2025-70557", "type": "ATS", "id_locale": "2025-70557-en", "job_description": "Data Office Claims & Service, Insights & Solutions Data Science Data Science The US Retail Markets Data Science team brings together a diverse range of talent to predict future risk and what our customers will need to recover. 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 USRM Data Science Demand and Decision Science team is hiring for Director II, Data Science roles. One role will concentrate on the Auto line of business, while the other will focus on Property & Specialty. In these pivotal roles, you will lead a team of talented data scientists responsible for building complex demand models for customer retention and conversion. You will also spearhead the development of expense-based pricing segmentation models and guide critical pricing program design decisions. Additionally, you will leverage causal inference techniques to enable more informed and high impact organizational decisions and conduct detailed cost benefit analyses to assess various strategic options. You will also lead the development and enhancement of demand-based calibration tools to support new rating program rollouts. This is an exciting opportunity for a results-oriented leader passionate about translating data and customer behavioral insights into strategic actions that drive business success. This role may have in-office requirements based on candidate location. 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. Responsible for management, technical oversight and development for a team of data science. Collaborates with business partners to develop tools and services such as modeling, dashboard development, and decision aids to drive strategic decision making. Presents findings, shares insights, and makes recommendations that impact profitability, growth and/or customer satisfaction. Responsible for highly technical, individualized and difficult to develop tools which are transformative in nature and have broad strategic impact to the aligned business unit. Provides strategic input on highly technically complex projects that drive change across function, SBU or Corporate Department. Directs work through others and may perform highly complex, technical and creative predictive analytics projects. 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Understand the competitive marketplace, business issues, and data challenges to deliver actionable insights, recommendations and business processes Effectively communicate results in written, oral, and presentation formats Act as a mentor and help develop less experienced analysts on the team Regularly engage with the data science community and lead cross functional working groups. Drive innovation in the application and development of tools and practices. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Advanced knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Ability to establish and build relationships within and outside the organization. Ability to give effective training and presentations to management and other groups. 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Develops, constructs, tests and maintains data architectures for data platform, databases, analytical/reporting, or data science systems. Establishes and builds data systems including providing standards, policies, practice, procedures, governance and quality assurance for data deliverables. Bachelor's or Master's degree in technical or business discipline or equivalent experience, technical degree preferred. Minimum 5+ years of data engineering / data modeling experience. Extensive data modeling experience using industry standard methodologies and tools (Erwin, UML) Extensive experience with both relational (Postgres) and dimensional data modeling (Snowflake, SSAS). Extensive experience developing DDL for cloud platforms (Amazon Redshift, Amazon Aurora, Snowflake) preferred. Extensive experience utilizing data governance (Informatica IDMC). Experience working with AWS preferred. Experience deploying DDL within Amazon AWS (Redshift, Aurora, Snowflake) preferred. Experience building ETL pipelines preferred. Experience building automation into data modeling and deployments. Experience working with financial data. Experience with insurance industry preferred. Must be proactive and self-driven, demonstrate initiative and be a logical thinker. Strong leadership, communication, collaboration skills with a track record of taking solution ownership. 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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. 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Generally 5+ years of Data Engineering experience. Experience developing back end, data warehouse technology solutions, data modeling, and data vault methodology. Knowledge of a variety of data platforms including Snowflake, Teradata, SQL, DB2 (Cloud based DB a plus). Experience with AWS (such as S3, Snowflake, Athena), Unix, Informatica (IDMC) and strong SQL skillset. Extensive knowledge of IT concepts, strategies, methodologies. Experience working with agile methodologies (Scrum, Kanban, XP) and cross-functional teams (Product Owners, Scrum Masters, Developers, Test Engineers). Well versed in diverse technologies and new technical architecture principles and concepts. Demonstrates leadership and active pursuit of optimizing CI/CD process and tools, testing frameworks and practices. Strong negotiation, facilitation and consensus building skills. Strong oral and written communication skills; presentation skills; Extensive knowledge of the following: IT concepts, strategies, methodologies. Extensive 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 Understanding of backlog tracking, burndown metrics, and incremental delivery Strong collaboration, prioritization, and adaptability skills required. Java, Kafka, NoSQL, Python development experience. Understanding of Cloud / Hybrid data architecture concepts. Understanding of insurance industry and products. 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Work in a dynamic and exciting agile environment with Scrum Masters, Product Managers, and team members to develop creative data-driven solutions that meet business and technical initiatives Work directly with data scientists to provision data for model development Interact with internal stakeholders and the core development team to refine the product backlog Automate and execute all levels of testing (unit, integration, and regression) Design and develop solutions to support ingestion, curation and provisioning of complex enterprise data to achieve analytics, reporting, and data science Support custom applications through their entire lifecycle Proactively avoid and eliminate technical debt Champion engineering excellence Foster learning/growth mindset and model it for others Demonstrate open minded and collaborative approach to creating innovative technical solutions Bachelor or Master`s degree in technical or business discipline or equivalent experience Generally 5+ years of professional experience Highly proficient in data engineering languages and tools, and strong proficiency in general programming languages and frameworks; ability to develop on multiple platforms Strong negotiation, facilitation and consensus building skills Strong oral and written communication skills; presentation skills Extensive knowledge of the following: IT concepts, strategies, methodologies Versed in diverse technologies and new technical architecture principles and concepts Extensive knowledge in layered systems architectures solutions and designs and shared data engineering concepts Business function(s) and I/T industry business issues; extensive knowledge of business operations, strategies and objectives Extensive understanding of agile data engineering concepts and processes Must be proactive, demonstrate initiative and be a logical thinker Extensive 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 Extensive understanding of backlog tracking, burndown metrics, and incremental delivery Strong 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/618504643790", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618504818111, "name": "Principal Data Solutions Analyst", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Analytics", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1749646860, "t_create": 1749152040, "ats_job_id": "70562", "display_job_id": "2025-70562", "type": "ATS", "id_locale": "2025-70562-en", "job_description": "Under minimal direction: Prototypes/develops data solutions of high complexity to meet the needs of the organization and business customers. Designs proof-of-concept solutions utilizing a comprehensive understanding of multiple coding languages to meet technical and business requirements, with an ability to perform iterative solution testing to ensure specifications are met. 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, helps to scale prototypes, and assists in building robust data assets, focusing on long-term strategic solutions. Creates effective requirements and documentation for new IT data development and deployment. Ensures IT requirements include criteria required to achieve data of high quality. Effectively and proactively communicates with stakeholders. Prioritizes efforts based on customer value. Can set expectations for deliverables of high complexity. Displays a working understanding of complex multi-tier, multi-platform data environments; can make recommendations for optimal technical solutions and best end-user experience. Understands and applies principles of data governance, compliance, and security. Demonstrates a strong understanding of new technologies as needed to progress initiatives. Acts as a technical leader and mentor to junior associates. Expertise in Snowflake data platform & services - data modeling, data profiling and ETL. Proficient in handling large data sets across various formats, including VSV, JSON, Parquet. 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Provides technical advice to lower level associates and other functional areas. Under minimal direction, prototypes/develops data solutions of high complexity to meet the needs of the organization and business customers. Designs proof-of-concept solutions utilizing a comprehensive 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 to lower level associates. Designs and develops data solutions that enables effective self-service data consumption, and can describe their value to the customer. Works with stakeholders in defining metrics that are impactful to the business. Prioritizes efforts based on customer value. Has a comprehensive understanding of Agile techniques. Can set expectations for deliverables of high complexity. 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. Displays a working understanding of complex multi-tier, multi-platform systems, and applies principles of metadata, lineage, business definitions, compliance, and data security to project work. Has a comprehensive understanding of Business Intelligence tools, including visualization and user experience techniques. Can set expectations for deliverables of high complexity. Works with IT to help scale prototypes. Demonstrates a strong understanding of new technologies as needed to progress initiatives. 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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. 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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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!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;}