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Trainee Computer Data Scientist Jobs in Kentucky

Galls

Data Scientist

Lexington, KY · On-site

Master's or PhD degree in Computer Science, Machine Learning, Engineering, or another highly ... Experience working with data pipelines, APIs, ETL workflows, and cloud-based data platforms

Galls

Data Scientist

Lexington, KY

Master's or PhD degree in Computer Science, Machine Learning, Engineering, or another highly ... Experience working with data pipelines, APIs, ETL workflows, and cloud-based data platforms

1P284 THE CARLYLE GROUP EMPLOYEE CO., LLC

$190 - $220/hr

Position Summary Join our dynamic Investment Data Science Team as a Data Scientist and immerse ... A bachelor's degree, required; concentration in Computer Science, Math, Physics or other ...

Cognizant

Senior Data Scientist

Louisville, KY · On-site

$120 - $150/hr

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field. * 5+ years of experience in Data Science, Advanced Analytics, Machine ...

Xometry

Senior Data Scientist, Costing

Lexington, KY · Hybrid

Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a ... Bachelor's degree required; degree in applied math, computer science, natural sciences or ...

Atlas Air

Staff Data Scientist

Erlanger, KY · On-site

D. in Operations Research, Machine Learning, Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field. * 5+ years of hands-on experience in a data science or similar ...

Atlas Air

Staff Data Scientist

Erlanger, KY · On-site

D. in Operations Research, MachineLearning, Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field. * 5+ years of hands-on experience in a data science or similar ...

Xometry

Senior Data Scientist, Costing

Lexington, KY · On-site

Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a ... Bachelor's degree required; degree in applied math, computer science, natural sciences or ...

Humana Inc

Lead Data Scientist

Louisville, KY · On-site

$142.30 - $195.70/hr

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... Design AI solutions using Python, computer vision, and generative models like LLMs and diffusion ...

Humana, Inc.

Lead Data Scientist

Louisville, KY · On-site

Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field. Additional ... Information Work Style: This position will have a hybrid work style, with 3 days per week in office ...

Humana

Lead Data Scientist

Louisville, KY · On-site +1

Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field. Additional ... Information Work Style: This position will have a hybrid work style, with 3 days per week in office ...

Humana

Lead Data Scientist

Louisville, KY · On-site +1

Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field. Additional ... Information Work Style: This position will have a hybrid work style, with 3 days per week in office ...

Pwc

AI & GenAI Data Scientist-Director

Louisville, KY

$155K - $410K/yr

Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering - At least one of the following: Certifications aligned to data engineering, machine ...

Elevance Health

Data Scientist Analyst

Louisville, KY · On-site +1

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning ...

TSMG

AI/ML Data Contributor

Louisville, KY

Basic computer skills and familiarity with digital tools * Reliable internet connection and access ... Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or ...

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Trainee Computer Data Scientist information

What is the difference between Trainee Computer Data Scientist vs Data Analyst?

AspectTrainee Computer Data ScientistData Analyst
Required CredentialsBasic programming, statistics, entry-level data science coursesData analysis, Excel, SQL, basic statistics
Work EnvironmentLearning-focused, entry-level projects, collaborative teamsData reporting, visualization, business insights
Industry UsageGrowing in tech, finance, healthcare sectorsWidespread across industries for business decision support

The Trainee Computer Data Scientist is an entry-level role focused on developing skills in data science, programming, and machine learning, often in a learning environment. In contrast, a Data Analyst primarily handles data reporting, visualization, and basic analysis to support business decisions. While both roles require some knowledge of statistics and data tools, the Data Scientist role emphasizes advanced data modeling and programming, whereas the Data Analyst role centers on interpreting data for insights.

Trainee Computer Data Scientist jobs near you

Data Scientist

Galls

Lexington, KY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 hours 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

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