1

At Home Data Scientist Risk Jobs in Kentucky (NOW HIRING)

... at scale. The objective is to develop intelligent, data-driven capabilities that enable the ... Experience supporting ecommerce, B2B/B2C operations, merchandising, pricing, finance, fraud/risk ...

... at scale. The objective is to develop intelligent, data-driven capabilities that enable the ... Experience supporting ecommerce, B2B/B2C operations, merchandising, pricing, finance, fraud/risk ...

Lead Data Scientist

Louisville, KY · On-site

$142.30 - $195.70/hr

... risk management and measurement. Join us in shaping the future of healthcare through AI excellence ... right place for you at Humana.**Work at Home Guidance**To ensure Home or Hybrid Home/Office ...

... risk management and measurement. Join us in shaping the future of healthcare through AI excellence ... right place for you at Humana. Work at Home Guidance To ensure Home or Hybrid Home/Office ...

... risk management and measurement. Join us in shaping the future of healthcare through AI excellence ... right place for you at Humana. Work at Home Guidance To ensure Home or Hybrid Home/Office ...

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 ...

Data Scientist

London, KY · On-site

$94.21 - $148.05/hr

At Octopus Energy Trading, we're on a mission to reshape the future of energy. As part of Octopus ... We are looking for a data scientist who's comfortable building data pipelines bringing together ...

Become a part of our caring community The Enterprise AI organization at Humana is a pioneering ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Become a part of our caring community The Enterprise AI organization at Humana is a pioneering ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Become a part of our caring community The Enterprise AI organization at Humana is a pioneering ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

$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 ...

Lead Data Scientist

Canada, KY · On-site +1

$160K - $200K/yr

... risk, and keep a client confident * You have a strong suit in at least one area: predictive ... Company-provided home office equipment * Flexible vacation and sick days * Team-oriented and ...

Senior Data Scientist

Canada, KY · On-site +1

$140K - $180K/yr

You have a strong suit in at least one area -- predictive/classical ML, computer vision, or LLM ... Company-provided home office equipment * Flexible vacation and sick days * Team-oriented and ...

$180 - $200/hr

This role sits at the intersection of investing, data science, artificial intelligence, and product development. The successful candidate will work alongside deal teams to develop analytical ...

At Atlas Air Worldwide, we're not just an airline, we're a global engine powering cargo, passenger ... We are looking for a brilliant and highly motivated Staff Data Scientist to join our innovative ...

At Atlas Air Worldwide, we're not just an airline, we're a global engine powering cargo, passenger ... We are looking for a brilliant and highly motivated Staff Data Scientist to join our innovative ...

... at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Senior ... Use data science and machine learning principles to develop effective predictive models * Write ...

... solutions at scale. As a Director, you will set the strategic direction and lead business ... Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems ...

next page

Showing results 1-20

At Home Data Scientist Risk information

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What are the most commonly searched types of Data Scientist Risk jobs in Kentucky? The most popular types of Data Scientist Risk jobs in Kentucky are:
What are popular job titles related to At Home Data Scientist Risk jobs in Kentucky? For At Home Data Scientist Risk jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching At Home Data Scientist Risk jobs in Kentucky look for? The top searched job categories for At Home Data Scientist Risk jobs in Kentucky are:
What cities in Kentucky are hiring for At Home Data Scientist Risk jobs? Cities in Kentucky with the most At Home Data Scientist Risk job openings:
Infographic showing various At Home Data Scientist Risk job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution.

Data Scientist

Galls

Lexington, KY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 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

Workplace

Get the full story on Breakroom