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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Act as DS SME and be responsible for setting the various levels of scientific strategies for many of our initiatives. Create prototypes and MVP solutions to leverage Generative and other AI techniques to empower multiple teams and to push the edge of the possible. Identify tools and best practices for key elements of DS lifecycle, both traditional DS and GenAI, possible directions Working cross-org (and cross-functionally) to implement and scale solutions with focus on execution through others. Work with product owners, scientists and engineers of varying levels of expertise, and influence solutions across the Enterprise 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. Ability to use results of analysis to persuade team, department management or senior management to a particular course of action. Broad knowledge of business drivers and market context. 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Identify and test hypotheses as part of building predictive models for staffing and forecasting applications, ensuring statistical significance. Translate quantitative analyses into accessible visuals for non-technical audiences, providing clear interpretations of data findings. Support the business in making informed trade-offs by providing insights into likely outcomes of different staffing scenarios. Customize analytic solutions to address specific client needs and operational challenges. Demonstrate coding proficiency in Python, with a strong grasp of data science libraries and frameworks. Utilize an understanding of optimization algorithms and their application in business contexts, and engage in building predictive models using contemporary machine learning (ML) and large language model (LLM) architectures as needed. Exhibit strong communication skills to effectively convey project proposals and outcomes to non-technical stakeholders. Engage actively with the Data Science community and leverage knowledge of MLOps standards, exploratory data analysis (EDA), and data visualization. Query databases using SQL to support data-driven decision-making. 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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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": 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": 1741699320, "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. 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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 (Snowflake SQL, SAS SQL, Python/GIT, PowerBI) 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 (including JIRA) techniques. 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. Works with IT to help scale prototypes. 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 NoSQL implementation, ETL, Java, scripting languages (Python, SQL). 5-7 years experience as developer with top quadrant Business Intelligence tools (PowerBI, Tableau).", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502594700", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"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": "42.3600825,-71.0588801"}, {"id": 618502155916, "name": "Director, Category Strategy Third Party Data", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Strategy & Planning", "business_unit": "3042-Enterprise Transformation & Solutions-US", "t_update": 1741699140, "t_create": 1736857440, "ats_job_id": "68188", "display_job_id": "2025-68188", "type": "ATS", "id_locale": "2025-68188-en", "job_description": "Lead a team of Category Strategists focused on the Procurement of Third-Party Data elements as well as the technology infrastructure to support the data ecosystem. Build reputation as a subject matter expert Develop, implement and lead the Third-Party Data Control Tower Identify and prioritize sourcing initiatives through annual Category Planning process. Work collaboratively with Functional Area and Business Group partners to conduct opportunity identification and prioritization. Develop sourcing strategies and lead negotiation of data products, from data elements to data platforms/technology infrastructure. Champion early engagement of Procurement organization to enable an increase of spend under management in order to maximize our collective Enterprise efficiency and effectiveness. Provide guidance on monitoring supplier performance against contractual terms and conditions, assess supplier financial health and develop risk mitigation plans for critical and preferred suppliers. Measure annual productivity improvements in the category through establishment of key performance metrics and tracking of results. 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Very strong analytic and negotiation skills are a must. Superior communications, interpersonal and presentation skills with strong influencing and persuasive abilities. Expertise in MS Office including Excel, Word and PowerPoint. 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Analytical and technical - able to gather, interpret, and evaluate data across multiple sources, with working experience in SAS, SQL, Python or R. Self-driven with strong organizational skills and proactive follow through. Collaborative and engaged in contributing to a dynamic and inclusive team culture - on our team and across partner teams. Bachelor's Degree plus a minimum 3 years, typically 4 or more years of experience, or equivalent, is required. Mathematics, Economics, Statistics or other quantitative field are preferred fields of study. Advanced knowledge of data sources, tools, statistical principles and methodologies, and techniques. Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, Emblem). Must have good planning, analytical, decision-making and communication skills. Solid understanding of business to improve business outcomes. 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