{"schemaVersion":"jobsearcher.job.v1","id":"3953eb17a5ff2014a9e8399d","url":"https://jobsearcher.com/jobs/3953eb17a5ff2014a9e8399d","canonicalUrl":"https://jobsearcher.com/jobs/3953eb17a5ff2014a9e8399d","title":"Senior Data Scientist","description":"SENIOR DATA SCIENTIST\r\nREPORTS TO: DIRECTOR OF DATA SCIENCE\r\nSTATUS: EXEMPT\r\nSummary\r\nBoot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build each other up, listen intently, and implement out-of-the-box ideas. We celebrate new innovations, congratulate one another's achievements, and most importantly support each other.\r\nAt Boot Barn, we work together to make a positive impact on the world around us, and by working collectively with encouragement, we consider ourselves \"Partners.\" With the values of the West guiding us, Boot Barn celebrates heritage, welcomes all, and values each unique Partner within our Boot Barn community.\r\nOur vision is to offer everyone a piece of the American spirit - one handshake at a time.\r\nThe Senior Data Scientist will play a critical role in building the foundation of Boot Barn's AI and Data Science division, with a focus on developing advanced machine learning and generative AI solutions. This position will lead the design and deployment of models that power data driven solutions to support cross-departmental products, and intelligent agentic systems.\r\nWorking closely with AI/ML and Data Engineers, this individual will ensure models are robust, well-designed, and ready to scale, while contributing to the establishment of data science best practices across the organization.\r\nEssential Duties and Responsibilities\r\n\r\nDesign, build, and deploy predictive and generative AI models to address high-impact applications such as personalization, forecasting, marketing automation, and conversational agents.\r\nConduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation to uncover insights and validate model performance.\r\nDevelop high-quality, modular Python code for model training and experimentation using libraries and frameworks such as pandas, numpy, scikit-learn, PyTorch, TensorFlow.\r\nCollaborate with AI/ML Engineers to productionize models through containerization, orchestration, and CI/CD pipelines.\r\nCollaborate with Data and AI/ML Engineers to establish RAG pipelines, vector databases, and agentic frameworks.\r\nPrototype and deploy generative AI applications such as content generation agents, knowledge assistants, and multimodal interfaces.\r\nPartner cross-functionally with Store Operations, Ecommerce, Marketing, Merchandise, Supply Chain and Real Estate to identify and prioritize high-impact AI opportunities.\r\nContribute to data science best practices, model documentation, and the creation of reusable modeling frameworks.\r\nTranslate complex model results into clear business insights for technical and non-technical audiences.\r\nDemonstrates high level of quality work, attendance and appearance.\r\nDemonstrates high degree of professionalism in communication, attitude and teamwork with customers, peers and management.\r\nAdhere to all local, federal and state laws in addition to Company policies, procedures, and practices.\r\nPerforms any other duties that may be assigned by management.\r\n\r\nQualifications\r\n\r\nBachelor's or Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.\r\n3+ years of hands-on data science experience; proven track record in developing and deploying ML and generative AI models.\r\nStrong expertise in SQL, Python and core ML frameworks (scikit-learn, PyTorch, TensorFlow)\r\nExperience with LLMs, vector databases, and RAG pipelines\r\nFamiliarity with MLOps workflows, containerization (Docker), and orchestration (Kubernetes) tools.\r\nStrong collaboration skills, with experience working closely with engineering and product teams.\r\nRetail and/or e-commerce experience preferred.\r\n\r\nCompetencies\r\n\r\nEnsure Effective Communication - Listens carefully and attentively to others' opinions and ideas. Communicates information clearly, concisely, and professionally.\r\nEstablish Trust - Follows through on commitments. Is honest and direct with others. Promotes a culture of respect for, commitment to, and compliance with Company values, beliefs, and standards. Ensures the protection of confidential information.\r\n\r\nBoot Barn Benefits & Additional Compensation Opportunities\r\n\r\nCompetitive salary.\r\nMerchandise discount: 50% off of Exclusive Brands and 40% off of third-party brands.\r\nPaid Time Off plan for year-round Boot Barn Partners.\r\nMedical, Dental, Vision and Life Insurance.\r\n401(k) plan with generous company matching.\r\nFlexible schedules and work/life balance.\r\nOpportunities for growth at every level - we are opening 50+ new stores each year.\r\n\r\nFor eligible Boot Barn Partners\r\nPAY RANGE: $120,000.00 - $150,000.00/yr*\r\n\r\ncompensation varies based on geography, skills, experience, and tenure\r\n\r\nPhysical Demands\r\nIn general, the following physical demands are representative of those that must be met by a Partner to successfully perform the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job.\r\n\r\nStanding, walking and squatting less than fifty percent of the work shift.\r\nRequired to lift, move and carry up to 40 pounds.\r\nAbility to read, count and write to accurately complete all documentation and reports.\r\nMust be able to see, hear and speak in order to communicate with partners and customers.\r\nSpecific vision abilities include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus.\r\nManual dexterity required using hands to finger; handle, feel and type; reach with hands and arms.\r\n\r\n[ ] Sedentary: Limited activity, no lifting, limited walking\r\n[ X ] Light: Office work, some lifting, bending, stooping or kneeling, walking\r\n[ ] Moderate: Mostly standing, walking, bending, frequent lifting\r\n[ ] Arduous: Heavy lifting, bending, crawling, climbing\r\nWork Environment\r\nIn general, the following conditions of the work environment are representative of those that a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job within the environment.\r\n\r\nThe workspace is clean, orderly, properly lighted and ventilated with the proper safety compliance.\r\nNoise levels are considered moderate.\r\n\r\nBoot Barn, Inc. reserves the right to make exceptions to modify or eliminate this document or its content. This document supersedes all previous policies, procedures or guidelines pertaining to this subject.\r\nOur core value of community bands us together in supportive and inclusive ways to drive our collective success. Boot Barn provides equal employment opportunity to all applicants and employees without regard to race, color, religion, sex, sexual orientation, age, national or ethnic origin, veteran or military status, disability, as well as any other protected status under the law.\r\nAmericans with Disabilities Act (ADA) - Boot Barn will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required by applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Boot Barn Store or Distribution Center or reach out to Human Resources at 1-949-453-4400, Option 4.\r\nCalifornia Privacy Notice","company":"Boot Barn","rawCompany":"bootbarn","city":"Irvine","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-28T04:31:46.365Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Scientist","description":"SENIOR DATA SCIENTIST\r\nREPORTS TO: DIRECTOR OF DATA SCIENCE\r\nSTATUS: EXEMPT\r\nSummary\r\nBoot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build each other up, listen intently, and implement out-of-the-box ideas. We celebrate new innovations, congratulate one another's achievements, and most importantly support each other.\r\nAt Boot Barn, we work together to make a positive impact on the world around us, and by working collectively with encouragement, we consider ourselves \"Partners.\" With the values of the West guiding us, Boot Barn celebrates heritage, welcomes all, and values each unique Partner within our Boot Barn community.\r\nOur vision is to offer everyone a piece of the American spirit - one handshake at a time.\r\nThe Senior Data Scientist will play a critical role in building the foundation of Boot Barn's AI and Data Science division, with a focus on developing advanced machine learning and generative AI solutions. This position will lead the design and deployment of models that power data driven solutions to support cross-departmental products, and intelligent agentic systems.\r\nWorking closely with AI/ML and Data Engineers, this individual will ensure models are robust, well-designed, and ready to scale, while contributing to the establishment of data science best practices across the organization.\r\nEssential Duties and Responsibilities\r\n\r\nDesign, build, and deploy predictive and generative AI models to address high-impact applications such as personalization, forecasting, marketing automation, and conversational agents.\r\nConduct exploratory data analysis, statistical modeling, causal inference, and A/B experimentation to uncover insights and validate model performance.\r\nDevelop high-quality, modular Python code for model training and experimentation using libraries and frameworks such as pandas, numpy, scikit-learn, PyTorch, TensorFlow.\r\nCollaborate with AI/ML Engineers to productionize models through containerization, orchestration, and CI/CD pipelines.\r\nCollaborate with Data and AI/ML Engineers to establish RAG pipelines, vector databases, and agentic frameworks.\r\nPrototype and deploy generative AI applications such as content generation agents, knowledge assistants, and multimodal interfaces.\r\nPartner cross-functionally with Store Operations, Ecommerce, Marketing, Merchandise, Supply Chain and Real Estate to identify and prioritize high-impact AI opportunities.\r\nContribute to data science best practices, model documentation, and the creation of reusable modeling frameworks.\r\nTranslate complex model results into clear business insights for technical and non-technical audiences.\r\nDemonstrates high level of quality work, attendance and appearance.\r\nDemonstrates high degree of professionalism in communication, attitude and teamwork with customers, peers and management.\r\nAdhere to all local, federal and state laws in addition to Company policies, procedures, and practices.\r\nPerforms any other duties that may be assigned by management.\r\n\r\nQualifications\r\n\r\nBachelor's or Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.\r\n3+ years of hands-on data science experience; proven track record in developing and deploying ML and generative AI models.\r\nStrong expertise in SQL, Python and core ML frameworks (scikit-learn, PyTorch, TensorFlow)\r\nExperience with LLMs, vector databases, and RAG pipelines\r\nFamiliarity with MLOps workflows, containerization (Docker), and orchestration (Kubernetes) tools.\r\nStrong collaboration skills, with experience working closely with engineering and product teams.\r\nRetail and/or e-commerce experience preferred.\r\n\r\nCompetencies\r\n\r\nEnsure Effective Communication - Listens carefully and attentively to others' opinions and ideas. Communicates information clearly, concisely, and professionally.\r\nEstablish Trust - Follows through on commitments. Is honest and direct with others. Promotes a culture of respect for, commitment to, and compliance with Company values, beliefs, and standards. Ensures the protection of confidential information.\r\n\r\nBoot Barn Benefits & Additional Compensation Opportunities\r\n\r\nCompetitive salary.\r\nMerchandise discount: 50% off of Exclusive Brands and 40% off of third-party brands.\r\nPaid Time Off plan for year-round Boot Barn Partners.\r\nMedical, Dental, Vision and Life Insurance.\r\n401(k) plan with generous company matching.\r\nFlexible schedules and work/life balance.\r\nOpportunities for growth at every level - we are opening 50+ new stores each year.\r\n\r\nFor eligible Boot Barn Partners\r\nPAY RANGE: $120,000.00 - $150,000.00/yr*\r\n\r\ncompensation varies based on geography, skills, experience, and tenure\r\n\r\nPhysical Demands\r\nIn general, the following physical demands are representative of those that must be met by a Partner to successfully perform the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job.\r\n\r\nStanding, walking and squatting less than fifty percent of the work shift.\r\nRequired to lift, move and carry up to 40 pounds.\r\nAbility to read, count and write to accurately complete all documentation and reports.\r\nMust be able to see, hear and speak in order to communicate with partners and customers.\r\nSpecific vision abilities include close vision, distance vision, peripheral vision, depth perception and ability to adjust focus.\r\nManual dexterity required using hands to finger; handle, feel and type; reach with hands and arms.\r\n\r\n[ ] Sedentary: Limited activity, no lifting, limited walking\r\n[ X ] Light: Office work, some lifting, bending, stooping or kneeling, walking\r\n[ ] Moderate: Mostly standing, walking, bending, frequent lifting\r\n[ ] Arduous: Heavy lifting, bending, crawling, climbing\r\nWork Environment\r\nIn general, the following conditions of the work environment are representative of those that a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to allow differently abled individuals to perform the essential functions of the job within the environment.\r\n\r\nThe workspace is clean, orderly, properly lighted and ventilated with the proper safety compliance.\r\nNoise levels are considered moderate.\r\n\r\nBoot Barn, Inc. reserves the right to make exceptions to modify or eliminate this document or its content. This document supersedes all previous policies, procedures or guidelines pertaining to this subject.\r\nOur core value of community bands us together in supportive and inclusive ways to drive our collective success. Boot Barn provides equal employment opportunity to all applicants and employees without regard to race, color, religion, sex, sexual orientation, age, national or ethnic origin, veteran or military status, disability, as well as any other protected status under the law.\r\nAmericans with Disabilities Act (ADA) - Boot Barn will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required by applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Boot Barn Store or Distribution Center or reach out to Human Resources at 1-949-453-4400, Option 4.\r\nCalifornia Privacy Notice","datePosted":"2026-04-28T04:31:46.365Z","dateModified":"2026-04-28T04:31:46.365Z","hiringOrganization":{"@type":"Organization","name":"Boot Barn","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irvine","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3953eb17a5ff2014a9e8399d"},"url":"https://jobsearcher.com/jobs/3953eb17a5ff2014a9e8399d"}}