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Data Science Machine Learning Jobs in Kentucky (NOW HIRING)

Fraud Model Analyst

Louisville, KY · On-site +1

$45K - $103.50K/yr

Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) Competencies Data Architecture, Data Mining, Disruptive Innovation ...

Senior Machine Learning Engineer

Lexington, KY · Hybrid

$103.90K - $142.60K/yr

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right ... Experience with large scale data processing (e.g., Hands-on experience training and applying models ...

Senior Machine Learning Engineer

Lexington, KY · On-site

$103.90K - $142.60K/yr

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right ... Experience with large scale data processing (e.g., Hands-on experience training and applying models ...

Design and implement machine learning models , deep learning architectures, and AI-driven solutions ... Collaborate with data scientists, engineers, and product teams to integrate AI models into ...

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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 May 30, 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, and why are they important?

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 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.

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 are popular job titles related to Data Science Machine Learning jobs in Kentucky? For Data Science Machine Learning jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Data Science Machine Learning jobs in Kentucky look for? The top searched job categories for Data Science Machine Learning jobs in Kentucky are:
Infographic showing various Data Science Machine Learning job openings in Kentucky as of May 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 53% Physical, 4% Hybrid, and 43% Remote job distribution, with an average salary of $106,602 per year, or $51.3 per hour.
Junior software programmer FUllstack/Data Scientist

Junior software programmer FUllstack/Data Scientist

SynergisticIT

Lexington, KY

$58.50K - $76K/yr

Other

Posted 22 days ago


Job description

Interviews and Job offers? Let's make it happen with a Process which works Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now.

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We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Candidates on F1/OPT needing a job for STEM extension or H-1B filing We assist in filing for STEM extension and also for H1b and Green card filing to Candidates please read our blogs: Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career?

Is AI Going to Replace Software Programmers? | SynergisticIT All visa types and U.S. citizens are encouraged to apply.

Please check the below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Client JOPP: Job Placement Program Contact: https://www.synergisticit.com/contact-us/ See It. Believe It. Become It.

Don't let a lack of interviews stall your career. Let's give hiring managers exactly what they're looking for—and then some. You've already done the hard part.

Now, let's get you hired. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also.

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