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Associate Scientist Jobs in Kentucky (NOW HIRING)

Galls

Data Scientist

Lexington, KY

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 ...

GALLS Inc.

Data Scientist

Lexington, KY · On-site

$120 - $180/hr

Working at the intersection of Ecommerce, Data Science, Merchandising, Finance, and Marketing, this individual will transform pricing into a strategic growth lever that improves customer acquisition ...

1P284 THE CARLYLE GROUP EMPLOYEE CO., LLC

$190 - $220/hr

This unique role fuses technical data science expertise with sharp commercial insight, placing you at the crossroads of investment decision-making and value creation. Collaborate closely with our ...

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 ... Associates who live and work from Home in the state of California, Illinois, Montana, or South ...

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 ... Associates who live and work from Home in the state of California, Illinois, Montana, or South ...

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 ... Associates who live and work from Home in the state of California, Illinois, Montana, or South ...

1P284 THE CARLYLE GROUP EMPLOYEE CO., LLC

$180 - $200/hr

Unlike traditional data science roles, this position requires the ability to operate as both a technical expert and a strategic thought partner. The ideal candidate can move seamlessly between ...

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Showing results 21-40

All JobsAssociate Scientist JobsAssociate Scientist Jobs in Kentucky

Associate Scientist information

See Kentucky salary details

$16

$31

$49

How much do associate scientist jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for associate scientist in Kentucky is $31.20, according to ZipRecruiter salary data. Most workers in this role earn between $24.23 and $35.48 per hour, depending on experience, location, and employer.

Is an associate scientist entry level?

An associate scientist position is often considered an entry-level or early-career role in research and development, typically requiring a bachelor's or master's degree in a relevant field. It involves performing experiments, data analysis, and supporting scientific projects, with opportunities for skill development and advancement. However, some organizations may require prior experience or specific technical skills depending on the complexity of the work.

What degree do you need to be an associate scientist?

An associate scientist typically needs at least a bachelor's degree in a relevant field such as biology, chemistry, or related sciences. Some positions may require a master's degree or higher, along with laboratory skills and experience with scientific tools and techniques.

What are some common challenges an associate scientist might face when transitioning from academia to industry?

Associate Scientists moving from academia to industry often encounter challenges such as adapting to a faster-paced environment and focusing on project-driven outcomes rather than open-ended research. In industry, there is a stronger emphasis on teamwork, meeting strict deadlines, and following standardized protocols. Adjusting to these expectations, learning new technologies, and effectively communicating results to cross-functional teams are key areas where new hires may need support.

What does an associate scientist do?

An Associate Scientist is a professional who supports research and development projects, typically in fields like biotechnology, pharmaceuticals, or environmental science. They conduct experiments, analyze data, and document results under the supervision of senior scientists. Associate Scientists play a key role in advancing scientific knowledge and product development by performing laboratory tasks, maintaining equipment, and following established protocols. Their work contributes to discoveries, quality control, and regulatory compliance within their organization.

What is an associate scientist?

An associate scientist takes on more responsibilities than an assistant scientist, supporting research and each experiment under the lead scientist, often in a laboratory environment. As an associate scientist, there are many industries you can work in, including the research field where the lead scientist oversees your project, and you help author papers. Many pharmaceutical companies hire associate scientists to analyze samples to develop drugs and assist with preclinical and clinical studies. Private companies need you to produce specialty chemicals for their clients. Materials scientists at the associate level conduct research and test the properties of metals, plastics, and other materials for their use in new products and packaging. Some positions have duties that include training other team members and overseeing students and fellows.

What is the difference between Associate Scientist vs Research Scientist?

AspectAssociate ScientistResearch Scientist
Required CredentialsBachelor's or Master's degree in a relevant field; some roles may require a PhDTypically a Master's or PhD in a related discipline
Work EnvironmentLaboratories, research facilities, industry settingsResearch labs, academic institutions, industry
Employer & Industry UsageBiotech, pharmaceuticals, academia, governmentBiotech, pharmaceuticals, academia, government
Common Search & Comparison IntentUnderstanding entry-level or mid-level research rolesAdvanced research roles, career progression

Associate Scientists and Research Scientists often work in similar environments within biotech, pharma, or academic sectors. The main difference lies in experience and educational requirements, with Research Scientists typically holding higher degrees and engaging in more independent or advanced research. Both roles are essential for scientific progress, but Research Scientists usually have more responsibility and autonomy in their projects.

What are the key skills and qualifications needed to thrive as an associate scientist, and why are they important?

To thrive as an Associate Scientist, you generally need a bachelor’s or master’s degree in a relevant scientific field, along with strong analytical and laboratory skills. Familiarity with laboratory information management systems (LIMS), data analysis software, and standard operating procedures (SOPs) is often required. Attention to detail, problem-solving abilities, and effective teamwork are vital soft skills that distinguish top performers. These skills ensure accurate data collection, reliable experimental outcomes, and productive collaboration within research or product development teams.
More about Associate Scientist jobs
What are the most commonly searched types of Scientist jobs in Kentucky? The most popular types of Scientist jobs in Kentucky are:
What are popular job titles related to Associate Scientist jobs in Kentucky? For Associate Scientist jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Associate Scientist jobs in Kentucky look for? The top searched job categories for Associate Scientist jobs in Kentucky are:
What cities in Kentucky are hiring for Associate Scientist jobs? Cities in Kentucky with the most Associate Scientist job openings:
What are popular job titles related to Associate Scientist jobs in KY? For Associate Scientist jobs in KY, the most frequently searched job titles are:
Associate Scientist jobs near you
Infographic showing various Associate Scientist job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 25% Part Time, 1% Temporary, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $64,899 per year, or $31.2 per hour.

Data Scientist

Galls

Lexington, KY

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 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

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