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Data Science Machine Learning Jobs in Kentucky (NOW HIRING)

1P284 THE CARLYLE GROUP EMPLOYEE CO., LLC

$180 - $200/hr

Experience in Data Science, Machine Learning, Quantitative Analytics, Applied AI, or related fields, with a proven track record of success. * Experience building and deploying production‑grade ...

Galls

Data Scientist

Lexington, KY · On-site

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 ...

Galls

Data Scientist

Lexington, KY

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 ...

Varsity Tutors

Data Science Tutor

Lexington, KY · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Louisville, KY · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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 and 2 ...

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 and 2 ...

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 ...

Xometry

Senior Data Scientist, Costing

Lexington, KY · Hybrid

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 ...

Deloitte

Lead AI and Data Science Engineer II

Louisville, KY · On-site

$98K - $129K/yr

In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You ...

Munich Re

Data Scientist

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 ...

Varsity Tutors

Machine Learning Tutor

Louisville, KY · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Lexington, KY · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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 ...

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All JobsData Science Machine Learning JobsData Science Machine Learning Jobs in Kentucky

Data Science Machine Learning information

See Kentucky salary details

$32.6K

$106.6K

$170.7K

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

As of Aug 12, 2026, the average yearly pay for data science 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 are the key skills and qualifications needed to thrive as a data science machine learning professional?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a data science machine learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.
Data Science Machine Learning jobs near you
Infographic showing various Data Science Machine Learning job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $106,602 per year, or $51.3 per hour.

AlpInvest Embedded Data Scientist

1P284 THE CARLYLE GROUP EMPLOYEE CO., LLC

On-site

$180 - $200/hr

Other

Medical, Life, Retirement, PTO

Posted 7 days ago

Job description

Position Summary

Join our dynamic Investment Data Science Team as an Embedded Data Scientist to partner directly with investment professionals across Primaries, Secondaries, and Co-Investments. 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 frameworks, generate proprietary investment insights, and build scalable products that enhance investment decision‑making. 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 developing machine learning models and engaging with investment professionals on questions related to manager selection, fund evaluation, portfolio construction, investment pricing, and market intelligence. This individual will help advance several strategic initiatives, including GP Scoring, OneDay Pricing, AI‑powered diligence workflows, portfolio intelligence, and market signal generation.

Primary Responsibilities
  • Partner directly with investment professionals across Primaries, Secondaries, and Co‑Investments to support live investment opportunities.
  • Translate investment questions into analytical frameworks, models, and actionable insights.
  • Conduct quantitative analyses to evaluate fund managers, investment strategies, portfolio performance, and market opportunities.
  • Present findings and recommendations to investment teams and senior leadership.
Product & Model Development
  • Develop and enhance proprietary GP Scoring methodologies used to evaluate private equity managers.
  • Build scalable analytical products that integrate into AlpInvest's investment workflows.
  • Design and deploy machine learning, statistical, and AI‑driven solutions to improve investment decision‑making.
  • Contribute to the development of One‑Day Pricing capabilities for LP interest transactions.
  • Support creation of market intelligence, portfolio monitoring, and company intelligence products.
AI & Data Science Innovation
  • Develop and improve predictive models leveraging structured and unstructured investment datasets.
  • Apply modern AI techniques, including LLMs, agent‑based workflows, and retrieval systems, to investment research and diligence processes.
  • Collaborate with engineering and product teams to productionize analytical capabilities.
  • Identify opportunities to automate workflows and improve scalability across investment processes.
Stakeholder Engagement
  • Build strong relationships with investment professionals and become a trusted advisor across business lines.
  • Gather requirements, prioritize opportunities, and translate business needs into technical solutions.
  • Communicate complex analytical concepts to both technical and non‑technical audiences.
  • Help drive adoption of data science products and insights throughout the organization.
Professional Experience
  • 8+ years of overall relevant technical experience.
  • Experience in Data Science, Machine Learning, Quantitative Analytics, Applied AI, or related fields, with a proven track record of success.
  • Experience building and deploying production‑grade analytical products and models.
  • Demonstrated ability to work directly with senior business stakeholders and solve complex business problems.
  • Experience operating in highly ambiguous environments and managing multiple priorities simultaneously.
  • Strong programming skills in Python and experience with modern data science libraries and frameworks.
  • Deep understanding of statistical modeling, machine learning, experimentation, and predictive analytics.
  • Experience working with structured and unstructured datasets at scale.
  • Familiarity with cloud‑based analytics environments and modern data platforms.
  • Experience applying generative AI, LLMs, or agent‑based systems is strongly preferred.
  • Experience within private equity, asset management, investment management, alternative investments, financial services, or investment technology.
  • Familiarity with investment performance metrics, portfolio analytics, fund structures, or manager evaluation frameworks.
  • Experience developing products that combine quantitative analysis with business decision‑making.
Benefits & Compensation

The compensation range for this role in New York is $180,000 to $200,000 base salary. In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.

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