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At a glance
Requirements
Credentials this posting asks for.
Job overview
Galls is hiring a Data Scientist. Galls, LLC is seeking an AI/ML Data Scientist to build intelligent agents, automation systems, and scalable workflows for its ecommerce operations. This role involves 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 to improve operational efficiency, automate workflows, optimize pricing and merchandising, enhance financial analysis, and support business growth initiatives.
Key focus areas include Lead the development and execution of scalable AI and automation initiatives, Identify opportunities to improve operational efficiency, decision-making, and business performance, and Design and implement systems leveraging LLMs, RAG, agentic AI frameworks, and knowledge graphs.
Successful candidates bring Master's Degree and 5+ Years AI/ML Experience. Important skills include AI/ML Model Development, Data Engineering, AI Architecture, Analytics, Strategic Business Problem-Solving, and Machine Learning.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Experience Required
5 - 20 years
Minimum Education Required
Masters
Compensation
$7.25 / hourly
Hours Per Week
40
Number Of Positions
1
Work Schedule and Shift Requirements
First (Day)
Job 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 DO
This role combines hands-on AI/ML m odel 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 Responsibilities
AI Strategy & Intelligent Automation
Lead the development and execution of scalable AI and automation initiatives across the business
Identify opportunities to improve operational efficiency, decision-making, and business performance through intelligent, data-driven solutions
Design and implement systems leveraging LLMs, RAG, agentic AI frameworks, knowledge graphs, and advanced machine learning techniques
Build AI agents and autonomous workflows capable of supporting a 24/7 ecommerce operation
Research, evaluate, and implement emerging AI technologies, frameworks, and methodologies
AI/ML Modeling & Solution Development
Develop, train, validate, and deploy machine learning, NLP, and GenAI models for operational and commercial use cases
Apply machine learning techniques including forecasting, optimization, recommendation systems, anomaly detection, and predictive analytics
Perform feature engineering, experimentation, m odel evaluation, benchmarking, and performance optimization
Support the continuous improvement, scalability, and reliability of AI/ML systems and analytics solutions
Establish evaluation and monitoring frameworks for AI and GenAI m odel performance
Data Engineering & Enterprise Analytics
Build and maintain scalable data pipelines, ingestion systems, and automation workflows
Develop scripts and processes for data scraping, collection, cleansing, normalization, and enrichment
Integrate and centralize data from APIs, ecommerce platforms, ERP systems, databases, and third-party providers
Ensure enterprise data is reliable, accessible, and structured for analytics, reporting, and intelligent automation initiatives
Deliver analytics, dashboards, forecasting models, and reporting solutions supporting pricing, finance, merchandising, operations, inventory, and growth initiatives
Cross-Functional Collaboration
Partner with stakeholders across Ecommerce, Operations, Finance, Compliance, Legal, Merchandising, Risk, and IT to deliver scalable AI and analytics solutions
Translate business challenges into structured AI, machine learning, and data science initiatives
Support the adoption and integration of AI-driven tools, workflows, and automation capabilities across the organization
Communicate technical findings, insights, and recommendations clearly to both technical and non-technical stakeholders
Technical Leadership & Best Practices
Contribute to the design and evolution of scalable AI, data, and analytics architectures
Establish best practices for m odel development, deployment, governance, experimentation, and monitoring
Ensure adherence to SDLC standards, documentation, version control, and software engineering best practices
Collaborate with Data Engineering and ML Engineering teams to support production deployment and operational scalability
Stay current with advancements in AI, machine learning, data engineering, and intelligent automation technologies
WHAT YOU BRING
Master's or PhD degree in Computer Science, Machine Learning, Engineering, or another highly quantitative discipline
5+ years of hands-on experience building AI/ML/NLP solutions and applying statistical analysis to solve complex business problems
Strong programming skills in Python and SQL, with experience developing scalable production-ready solutions
Experience designing and deploying systems leveraging LLMs, RAG pipelines, agentic AI frameworks, vector databases, and semantic search
Experience with modern AI/ML frameworks and tooling such as LangChain, LangGraph, CrewAI, OpenAI SDK, Hugging Face, PyTorch, and related ecosystems
Experience working with data pipelines, APIs, ETL workflows, and cloud-based data platforms
Familiarity with vector stores, graph databases, SPARQL, Linux environments, and modern software engineering practices
Experience with experimentation, benchmarking, m odel evaluation, and LLM performance assessment methodologies
Strong understanding of SDLC principles, Git/version control workflows, and scalable software architecture
Experience supporting ecommerce, B2B/B2C operations, merchandising, pricing, finance, fraud/risk, or operational analytics initiatives
Strong analytical, communication, problem-solving, and stakeholder management skills
WHAT YOU SEND OUR WAY
Your resume, highlighting your education, experience, and skills
WHAT WE OFFER
Excellent medical/dental and vision coverage-Eligible 1st day of the month after start date
401(k) retirement plan with company contribution (because you will retire someday)
Flexible benefits-choose what you like, ignore the rest
Generous employee discount
Vacation and Personal Time
Paid Holidays
Tuition reimbursement
Daily Pay: up to 50% of your pay
EOE/Disability/Veterans
Galls is an EEO/AA/Minorities/Female/Disabled/Veterans Employer. If you need accommodation for any part of the employment process because of a medical condition or disability, please call Human Resources at 859-266-7227 with the nature of your accommodation request and include the Galls location and the title of the job opening.
Job Type
Full time
Benefits Offered
Not specified
Veteran Preference
No
Place of Work
On-site
Requisition ID
3760062
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