Data Scientist

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 View phone number on click.appcast.io 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