{"schemaVersion":"jobsearcher.job.v1","id":"1e1cc9b5d2e315f2ae3536de","url":"https://jobsearcher.com/jobs/1e1cc9b5d2e315f2ae3536de","canonicalUrl":"https://jobsearcher.com/jobs/1e1cc9b5d2e315f2ae3536de","title":"Data Scientist","description":"GALLS, LLC is the largest and fastest growing supplier of uniforms and equipment to public safety professionals, with a national presence in more than 80 locations. With over 50 years in the industry, it is easy to see why. We are PROUD to serve America’s public safety professionals by providing the broadest selection of uniforms, equipment, and solutions combined with great customer service.\nAs an ecommerce-driven business operating in a fast-moving, always-on environment, we are seeking a highly technical and commercially minded AI/ML Data Scientist to build intelligent agents, automation systems, and scalable workflows that can continuously monitor, analyze, and execute business processes at scale. The objective is to develop intelligent, data-driven capabilities that enable the business to operate more efficiently, proactively, and intelligently 24/7.\nWHAT YOU'LL DO\nThis role combines hands-on AI/ML model development, data engineering, AI architecture, analytics, and strategic business problem-solving. The ideal candidate will design and implement intelligent systems that improve operational efficiency, automate workflows, optimize pricing and merchandising, enhance financial analysis, and support business growth initiatives.\nYou will work closely with cross-functional teams across Ecommerce B2C/B2B cycles to build practical AI solutions leveraging modern machine learning, LLMs, Retrieval Augmented Generation (RAG), agentic AI systems, and advanced analytics frameworks.\nThis role offers the opportunity to take ownership of enterprise AI initiatives while building scalable systems that directly impact business performance.\nKey Responsibilities\nAI Strategy & Intelligent Automation\nLead the development and execution of scalable AI and automation initiatives across the business\nIdentify opportunities to improve operational efficiency, decision-making, and business performance through intelligent, data-driven solutions\nDesign and implement systems leveraging LLMs, RAG, agentic AI frameworks, knowledge graphs, and advanced machine learning techniques\nBuild AI agents and autonomous workflows capable of supporting a 24/7 ecommerce operation\nResearch, evaluate, and implement emerging AI technologies, frameworks, and methodologies\nAI/ML Modeling & Solution Development\nDevelop, train, validate, and deploy machine learning, NLP, and GenAI models for operational and commercial use cases\nApply machine learning techniques including forecasting, optimization, recommendation systems, anomaly detection, and predictive analytics\nPerform feature engineering, experimentation, model evaluation, benchmarking, and performance optimization\nSupport the continuous improvement, scalability, and reliability of AI/ML systems and analytics solutions\nEstablish evaluation and monitoring frameworks for AI and GenAI model performance\nData Engineering & Enterprise Analytics\nBuild and maintain scalable data pipelines, ingestion systems, and automation workflows\nDevelop scripts and processes for data scraping, collection, cleansing, normalization, and enrichment\nIntegrate and centralize data from APIs, ecommerce platforms, ERP systems, databases, and third-party providers\nEnsure enterprise data is reliable, accessible, and structured for analytics, reporting, and intelligent automation initiatives\nDeliver analytics, dashboards, forecasting models, and reporting solutions supporting pricing, finance, merchandising, operations, inventory, and growth initiatives\nCross-Functional Collaboration\nPartner with stakeholders across Ecommerce, Operations, Finance, Compliance, Legal, Merchandising, Risk, and IT to deliver scalable AI and analytics solutions\nTranslate business challenges into structured AI, machine learning, and data science initiatives\nSupport the adoption and integration of AI-driven tools, workflows, and automation capabilities across the organization\nCommunicate technical findings, insights, and recommendations clearly to both technical and non-technical stakeholders\nTechnical Leadership & Best Practices\nContribute to the design and evolution of scalable AI, data, and analytics architectures\nEstablish best practices for model development, deployment, governance, experimentation, and monitoring\nEnsure adherence to SDLC standards, documentation, version control, and software engineering best practices\nCollaborate with Data Engineering and ML Engineering teams to support production deployment and operational scalability\nStay current with advancements in AI, machine learning, data engineering, and intelligent automation technologies\nWHAT YOU BRING\nMaster’s or PhD degree in Computer Science, Machine Learning, Engineering, or another highly quantitative discipline\n5+ years of hands-on experience building AI/ML/NLP solutions and applying statistical analysis to solve complex business problems\nStrong programming skills in Python and SQL, with experience developing scalable production-ready solutions\nExperience designing and deploying systems leveraging LLMs, RAG pipelines, agentic AI frameworks, vector databases, and semantic search\nExperience with modern AI/ML frameworks and tooling such as LangChain, LangGraph, CrewAI, OpenAI SDK, Hugging Face, PyTorch, and related ecosystems\nExperience working with data pipelines, APIs, ETL workflows, and cloud-based data platforms\nFamiliarity with vector stores, graph databases, SPARQL, Linux environments, and modern software engineering practices\nExperience with experimentation, benchmarking, model evaluation, and LLM performance assessment methodologies\nStrong understanding of SDLC principles, Git/version control workflows, and scalable software architecture\nExperience supporting ecommerce, B2B/B2C operations, merchandising, pricing, finance, fraud/risk, or operational analytics initiatives\nStrong analytical, communication, problem-solving, and stakeholder management skills\nWHAT YOU SEND OUR WAY\nYour resume, highlighting your education, experience, and skills\nWHAT WE OFFER\nExcellent medical/dental and vision coverage—Eligible 1st day of the month after start date\n401(k) retirement plan with company contribution (because you will retire someday)\nFlexible benefits—choose what you like, ignore the rest\nGenerous employee discount\nVacation and Personal Time\nPaid Holidays\nTuition reimbursement\nDaily Pay: up to 50% of your pay\nEOE/Disability/Veterans","company":"Galls","rawCompany":"galls","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-04T19:26:39.826Z","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":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist","description":"GALLS, LLC is the largest and fastest growing supplier of uniforms and equipment to public safety professionals, with a national presence in more than 80 locations. With over 50 years in the industry, it is easy to see why. We are PROUD to serve America’s public safety professionals by providing the broadest selection of uniforms, equipment, and solutions combined with great customer service.\nAs an ecommerce-driven business operating in a fast-moving, always-on environment, we are seeking a highly technical and commercially minded AI/ML Data Scientist to build intelligent agents, automation systems, and scalable workflows that can continuously monitor, analyze, and execute business processes at scale. The objective is to develop intelligent, data-driven capabilities that enable the business to operate more efficiently, proactively, and intelligently 24/7.\nWHAT YOU'LL DO\nThis role combines hands-on AI/ML model development, data engineering, AI architecture, analytics, and strategic business problem-solving. The ideal candidate will design and implement intelligent systems that improve operational efficiency, automate workflows, optimize pricing and merchandising, enhance financial analysis, and support business growth initiatives.\nYou will work closely with cross-functional teams across Ecommerce B2C/B2B cycles to build practical AI solutions leveraging modern machine learning, LLMs, Retrieval Augmented Generation (RAG), agentic AI systems, and advanced analytics frameworks.\nThis role offers the opportunity to take ownership of enterprise AI initiatives while building scalable systems that directly impact business performance.\nKey Responsibilities\nAI Strategy & Intelligent Automation\nLead the development and execution of scalable AI and automation initiatives across the business\nIdentify opportunities to improve operational efficiency, decision-making, and business performance through intelligent, data-driven solutions\nDesign and implement systems leveraging LLMs, RAG, agentic AI frameworks, knowledge graphs, and advanced machine learning techniques\nBuild AI agents and autonomous workflows capable of supporting a 24/7 ecommerce operation\nResearch, evaluate, and implement emerging AI technologies, frameworks, and methodologies\nAI/ML Modeling & Solution Development\nDevelop, train, validate, and deploy machine learning, NLP, and GenAI models for operational and commercial use cases\nApply machine learning techniques including forecasting, optimization, recommendation systems, anomaly detection, and predictive analytics\nPerform feature engineering, experimentation, model evaluation, benchmarking, and performance optimization\nSupport the continuous improvement, scalability, and reliability of AI/ML systems and analytics solutions\nEstablish evaluation and monitoring frameworks for AI and GenAI model performance\nData Engineering & Enterprise Analytics\nBuild and maintain scalable data pipelines, ingestion systems, and automation workflows\nDevelop scripts and processes for data scraping, collection, cleansing, normalization, and enrichment\nIntegrate and centralize data from APIs, ecommerce platforms, ERP systems, databases, and third-party providers\nEnsure enterprise data is reliable, accessible, and structured for analytics, reporting, and intelligent automation initiatives\nDeliver analytics, dashboards, forecasting models, and reporting solutions supporting pricing, finance, merchandising, operations, inventory, and growth initiatives\nCross-Functional Collaboration\nPartner with stakeholders across Ecommerce, Operations, Finance, Compliance, Legal, Merchandising, Risk, and IT to deliver scalable AI and analytics solutions\nTranslate business challenges into structured AI, machine learning, and data science initiatives\nSupport the adoption and integration of AI-driven tools, workflows, and automation capabilities across the organization\nCommunicate technical findings, insights, and recommendations clearly to both technical and non-technical stakeholders\nTechnical Leadership & Best Practices\nContribute to the design and evolution of scalable AI, data, and analytics architectures\nEstablish best practices for model development, deployment, governance, experimentation, and monitoring\nEnsure adherence to SDLC standards, documentation, version control, and software engineering best practices\nCollaborate with Data Engineering and ML Engineering teams to support production deployment and operational scalability\nStay current with advancements in AI, machine learning, data engineering, and intelligent automation technologies\nWHAT YOU BRING\nMaster’s or PhD degree in Computer Science, Machine Learning, Engineering, or another highly quantitative discipline\n5+ years of hands-on experience building AI/ML/NLP solutions and applying statistical analysis to solve complex business problems\nStrong programming skills in Python and SQL, with experience developing scalable production-ready solutions\nExperience designing and deploying systems leveraging LLMs, RAG pipelines, agentic AI frameworks, vector databases, and semantic search\nExperience with modern AI/ML frameworks and tooling such as LangChain, LangGraph, CrewAI, OpenAI SDK, Hugging Face, PyTorch, and related ecosystems\nExperience working with data pipelines, APIs, ETL workflows, and cloud-based data platforms\nFamiliarity with vector stores, graph databases, SPARQL, Linux environments, and modern software engineering practices\nExperience with experimentation, benchmarking, model evaluation, and LLM performance assessment methodologies\nStrong understanding of SDLC principles, Git/version control workflows, and scalable software architecture\nExperience supporting ecommerce, B2B/B2C operations, merchandising, pricing, finance, fraud/risk, or operational analytics initiatives\nStrong analytical, communication, problem-solving, and stakeholder management skills\nWHAT YOU SEND OUR WAY\nYour resume, highlighting your education, experience, and skills\nWHAT WE OFFER\nExcellent medical/dental and vision coverage—Eligible 1st day of the month after start date\n401(k) retirement plan with company contribution (because you will retire someday)\nFlexible benefits—choose what you like, ignore the rest\nGenerous employee discount\nVacation and Personal Time\nPaid Holidays\nTuition reimbursement\nDaily Pay: up to 50% of your pay\nEOE/Disability/Veterans","datePosted":"2026-08-04T19:26:39.826Z","dateModified":"2026-08-04T19:26:39.826Z","hiringOrganization":{"@type":"Organization","name":"Galls","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1e1cc9b5d2e315f2ae3536de"},"url":"https://jobsearcher.com/jobs/1e1cc9b5d2e315f2ae3536de"}}