{"schemaVersion":"jobsearcher.job.v1","id":"a6eeb08e645bb7fd2a2c80cf","url":"https://jobsearcher.com/jobs/a6eeb08e645bb7fd2a2c80cf","canonicalUrl":"https://jobsearcher.com/jobs/a6eeb08e645bb7fd2a2c80cf","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.As 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.What You'll DoThis 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.You 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.This role offers the opportunity to take ownership of enterprise AI initiatives while building scalable systems that directly impact business performance.Key ResponsibilitiesAI Strategy & Intelligent AutomationLead the development and execution of scalable AI and automation initiatives across the businessIdentify opportunities to improve operational efficiency, decision-making, and business performance through intelligent, data-driven solutionsDesign and implement systems leveraging LLMs, RAG, agentic AI frameworks, knowledge graphs, and advanced machine learning techniquesBuild AI agents and autonomous workflows capable of supporting a 24/7 ecommerce operationResearch, evaluate, and implement emerging AI technologies, frameworks, and methodologiesAI/ML Modeling & Solution DevelopmentDevelop, train, validate, and deploy machine learning, NLP, and GenAI models for operational and commercial use casesApply machine learning techniques including forecasting, optimization, recommendation systems, anomaly detection, and predictive analyticsPerform feature engineering, experimentation, model evaluation, benchmarking, and performance optimizationSupport the continuous improvement, scalability, and reliability of AI/ML systems and analytics solutionsEstablish evaluation and monitoring frameworks for AI and GenAI model performanceData Engineering & Enterprise AnalyticsBuild and maintain scalable data pipelines, ingestion systems, and automation workflowsDevelop scripts and processes for data scraping, collection, cleansing, normalization, and enrichmentIntegrate and centralize data from APIs, ecommerce platforms, ERP systems, databases, and third-party providersEnsure enterprise data is reliable, accessible, and structured for analytics, reporting, and intelligent automation initiativesDeliver analytics, dashboards, forecasting models, and reporting solutions supporting pricing, finance, merchandising, operations, inventory, and growth initiativesCross-Functional CollaborationPartner with stakeholders across Ecommerce, Operations, Finance, Compliance, Legal, Merchandising, Risk, and IT to deliver scalable AI and analytics solutionsTranslate business challenges into structured AI, machine learning, and data science initiativesSupport the adoption and integration of AI-driven tools, workflows, and automation capabilities across the organizationCommunicate technical findings, insights, and recommendations clearly to both technical and non-technical stakeholdersTechnical Leadership & Best PracticesContribute to the design and evolution of scalable AI, data, and analytics architecturesEstablish best practices for model development, deployment, governance, experimentation, and monitoringEnsure adherence to SDLC standards, documentation, version control, and software engineering best practicesCollaborate with Data Engineering and ML Engineering teams to support production deployment and operational scalabilityStay current with advancements in AI, machine learning, data engineering, and intelligent automation technologiesWhat You BringMaster’s or PhD degree in Computer Science, Machine Learning, Engineering, or another highly quantitative discipline5+ years of hands-on experience building AI/ML/NLP solutions and applying statistical analysis to solve complex business problemsStrong programming skills in Python and SQL, with experience developing scalable production-ready solutionsExperience designing and deploying systems leveraging LLMs, RAG pipelines, agentic AI frameworks, vector databases, and semantic searchExperience with modern AI/ML frameworks and tooling such as LangChain, LangGraph, CrewAI, OpenAI SDK, Hugging Face, PyTorch, and related ecosystemsExperience working with data pipelines, APIs, ETL workflows, and cloud-based data platformsFamiliarity with vector stores, graph databases, SPARQL, Linux environments, and modern software engineering practicesExperience with experimentation, benchmarking, model evaluation, and LLM performance assessment methodologiesStrong understanding of SDLC principles, Git/version control workflows, and scalable software architectureExperience supporting ecommerce, B2B/B2C operations, merchandising, pricing, finance, fraud/risk, or operational analytics initiativesStrong analytical, communication, problem-solving, and stakeholder management skillsWhat You Send Our WayYour resume, highlighting your education, experience, and skillsWhat We OfferExcellent medical/dental and vision coverage—Eligible 1st day of the month after start date401(k) retirement plan with company contribution (because you will retire someday)Flexible benefits—choose what you like, ignore the restGenerous employee discountVacation and Personal TimePaid HolidaysTuition reimbursementDaily Pay: up to 50% of your payEOE/Disability/Veterans","company":"Galls","rawCompany":"galls","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-14T13:22:59.660Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"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.As 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.What You'll DoThis 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.You 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.This role offers the opportunity to take ownership of enterprise AI initiatives while building scalable systems that directly impact business performance.Key ResponsibilitiesAI Strategy & Intelligent AutomationLead the development and execution of scalable AI and automation initiatives across the businessIdentify opportunities to improve operational efficiency, decision-making, and business performance through intelligent, data-driven solutionsDesign and implement systems leveraging LLMs, RAG, agentic AI frameworks, knowledge graphs, and advanced machine learning techniquesBuild AI agents and autonomous workflows capable of supporting a 24/7 ecommerce operationResearch, evaluate, and implement emerging AI technologies, frameworks, and methodologiesAI/ML Modeling & Solution DevelopmentDevelop, train, validate, and deploy machine learning, NLP, and GenAI models for operational and commercial use casesApply machine learning techniques including forecasting, optimization, recommendation systems, anomaly detection, and predictive analyticsPerform feature engineering, experimentation, model evaluation, benchmarking, and performance optimizationSupport the continuous improvement, scalability, and reliability of AI/ML systems and analytics solutionsEstablish evaluation and monitoring frameworks for AI and GenAI model performanceData Engineering & Enterprise AnalyticsBuild and maintain scalable data pipelines, ingestion systems, and automation workflowsDevelop scripts and processes for data scraping, collection, cleansing, normalization, and enrichmentIntegrate and centralize data from APIs, ecommerce platforms, ERP systems, databases, and third-party providersEnsure enterprise data is reliable, accessible, and structured for analytics, reporting, and intelligent automation initiativesDeliver analytics, dashboards, forecasting models, and reporting solutions supporting pricing, finance, merchandising, operations, inventory, and growth initiativesCross-Functional CollaborationPartner with stakeholders across Ecommerce, Operations, Finance, Compliance, Legal, Merchandising, Risk, and IT to deliver scalable AI and analytics solutionsTranslate business challenges into structured AI, machine learning, and data science initiativesSupport the adoption and integration of AI-driven tools, workflows, and automation capabilities across the organizationCommunicate technical findings, insights, and recommendations clearly to both technical and non-technical stakeholdersTechnical Leadership & Best PracticesContribute to the design and evolution of scalable AI, data, and analytics architecturesEstablish best practices for model development, deployment, governance, experimentation, and monitoringEnsure adherence to SDLC standards, documentation, version control, and software engineering best practicesCollaborate with Data Engineering and ML Engineering teams to support production deployment and operational scalabilityStay current with advancements in AI, machine learning, data engineering, and intelligent automation technologiesWhat You BringMaster’s or PhD degree in Computer Science, Machine Learning, Engineering, or another highly quantitative discipline5+ years of hands-on experience building AI/ML/NLP solutions and applying statistical analysis to solve complex business problemsStrong programming skills in Python and SQL, with experience developing scalable production-ready solutionsExperience designing and deploying systems leveraging LLMs, RAG pipelines, agentic AI frameworks, vector databases, and semantic searchExperience with modern AI/ML frameworks and tooling such as LangChain, LangGraph, CrewAI, OpenAI SDK, Hugging Face, PyTorch, and related ecosystemsExperience working with data pipelines, APIs, ETL workflows, and cloud-based data platformsFamiliarity with vector stores, graph databases, SPARQL, Linux environments, and modern software engineering practicesExperience with experimentation, benchmarking, model evaluation, and LLM performance assessment methodologiesStrong understanding of SDLC principles, Git/version control workflows, and scalable software architectureExperience supporting ecommerce, B2B/B2C operations, merchandising, pricing, finance, fraud/risk, or operational analytics initiativesStrong analytical, communication, problem-solving, and stakeholder management skillsWhat You Send Our WayYour resume, highlighting your education, experience, and skillsWhat We OfferExcellent medical/dental and vision coverage—Eligible 1st day of the month after start date401(k) retirement plan with company contribution (because you will retire someday)Flexible benefits—choose what you like, ignore the restGenerous employee discountVacation and Personal TimePaid HolidaysTuition reimbursementDaily Pay: up to 50% of your payEOE/Disability/Veterans","datePosted":"2026-08-14T13:22:59.660Z","dateModified":"2026-08-14T13:22:59.660Z","hiringOrganization":{"@type":"Organization","name":"Galls","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a6eeb08e645bb7fd2a2c80cf"},"url":"https://jobsearcher.com/jobs/a6eeb08e645bb7fd2a2c80cf"}}