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Data Scientist Machine Learning Jobs in Kentucky

Galls

Data Scientist

Lexington, KY

... Data Scientist to build intelligent agents, automation systems, and scalable workflows that can ... Apply machine learning techniques including forecasting, optimization, recommendation systems ...

Xometry

Senior Data Scientist, Costing

Lexington, KY · Hybrid

The ideal candidate will have a passion for using machine learning tools and techniques to ... Use data science and machine learning principles to develop effective predictive models * Write ...

Atlas Air

Staff Data Scientist

Erlanger, KY · On-site

The perfect candidate brings a powerful blend of programming prowess, machine learning mastery, and ... Lead complex data science projects from conception to implementation, working with various ...

Xometry

Senior Data Scientist, Costing

Lexington, KY · On-site

Use data science and machine learning principles to develop effective predictive models * Write software to prepare, clean, and sample data for use in developing predictive models * Use cloud ...

Humana

Lead Data Scientist

Louisville, KY · On-site +1

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

Humana

Lead Data Scientist

Louisville, KY · On-site +1

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

Humana

Lead Data Scientist

Louisville, KY · On-site +1

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

Humana

Lead Data Scientist

Louisville, KY · On-site +1

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

Humana

Lead Data Scientist

Louisville, KY · On-site +1

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

Humana, Inc.

Lead Data Scientist

Louisville, KY · On-site

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

Humana

Lead Data Scientist

Louisville, KY · On-site +1

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

Munich Re

Data Scientist, AI

Lexington, KY · On-site +1

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Atlas Air

Staff Data Scientist

Erlanger, KY · On-site

The perfect candidate brings a powerful blend of programming prowess, machine learning mastery, and ... Lead complex data science projects from conception to implementation, working with various ...

New

OneSix - External

Senior Data Scientist

Canada, KY · On-site +1

$140K - $180K/yr

Its team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers seamlessly integrate with client teams to solve their most challenging business problems.

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All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Kentucky

Data Scientist Machine Learning information

See Kentucky salary details

$32.6K

$106.6K

$170.7K

How much do data scientist machine learning jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data scientist machine learning in Kentucky is $106,602.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $118,100.00 per year, depending on experience, location, and employer.

What is a Data Scientist Machine Learning job?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the Data Scientist Machine Learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

Is 40 too late for data science?

Data scientists can enter the field at any age, including 40 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex systems. AI is a tool that enhances their work but does not replace the need for skilled professionals who understand data, algorithms, and system integration.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require complex problem-solving, domain expertise, and the ability to interpret and communicate insights from data. Jobs that involve creativity, emotional intelligence, and strategic decision-making, such as healthcare professionals, educators, and skilled trades, are also expected to remain resilient despite AI advancements.

What are the typical day-to-day responsibilities of a Data Scientist Machine Learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

Do data scientists do machine learning?

Yes, data scientists often use machine learning techniques to analyze data, build predictive models, and extract insights. Proficiency in programming languages like Python or R and understanding of algorithms are essential skills for applying machine learning in their work.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Kentucky? The most popular types of Data Scientist Machine Learning jobs in Kentucky are:
What are popular job titles related to Data Scientist Machine Learning jobs in Kentucky? For Data Scientist Machine Learning jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Data Scientist Machine Learning jobs in Kentucky look for? The top searched job categories for Data Scientist Machine Learning jobs in Kentucky are:
Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Kentucky as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $106,602 per year, or $51.3 per hour.
Data Scientist

Data Scientist

Galls

Lexington, KY

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Galls rating

5.4

Company rating: 5.4 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

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 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 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, model 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 model 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 model 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, model 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

    What Galls employees say

    Pay

    Benefits

    Hours and flexibility

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