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Data Scientist Machine Learning Jobs in Kentucky

$140 - $210/hr

Collaborate with software engineers, data scientists, and product teams to integrate AI solutions ... machine learning applications. Job Requirements: Requires a Master's degree in Computational ...

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Senior Data Scientist (SMTS)

Bellevue, KY · On-site

$148.50 - $223.90/hr

  • Medical

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## Senior Data Scientist (SMTS)Applyremote type: Office - Flexiblelocations: Washington - Bellevue ... We leverage AI, machine learning, and contemporary data techniques to advance behavior- and ...

$192 - $260/hr

The team will use statistical and machine learning techniques for fraud and abuse detection on our ... You will guide junior data scientists and interns on the team by helping with project planning ...

New

$90 - $120/hr

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The data scientist weseekcomeswith strong experience in Python and its data science ecosystem ... Build, train, and deploy machine learning models and data pipelines using Python, pandas, NumPy ...

$110 - $117/hr

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  • PTO

... Data Scientist with a strong background in machine learning, data engineering, and model ... A large part of this role involves building machine learning models that not only meet but exceed ...

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Data Scientist

Lexington, KY · On-site

$120 - $180/hr

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  • Dental

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  • Retirement

Utilize machine learning models to determine optimal timing, depth, and duration of promotions ... Data Science teams. * Translate business objectives into machine-readable pricing rules and AI ...

$101 - $137/hr

... using Machine Learning, Python, SQL and Azure ML to optimize manufacturing, supply chain, and ... Master's degree in Data Analytics/Science, Computer Science or related field and 24 months of ...

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$95 - $120/hr

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The Data Scientist will play a critical role in building the foundation of Data Science division, with a focus on developing advanced machine learning and assisting in generative AI solutions. This ...

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Senior Data Scientist

Canada, KY · On-site +1

$180K/yr

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Its team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers seamlessly integrate with client teams to solve their most challenging business problems.

$99 - $225/hr

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As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Experience with natural language processing, text mining, or machine learning techniques*

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$190 - $220/hr

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Position Summary Join our dynamic Investment Data Science Team as a Data Scientist and immerse ... machine learning techniques and handling large datasets; skilled in data visualization and ...

Data Scientist Analyst

Louisville, KY · On-site +1

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Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Apply machine learning and AI techniques to uncover leading indicators of health utilization trends ...

$120 - $190/hr

The Commercial Data Science team drives a multi-year 1:1 personalization initiative that redefines guest engagement through advanced AI and machine learning. This team collaborates closely with ...

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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 ...

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 ...

$192 - $260/hr

What we look for: * 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies * Extensive experience in applying Data Science / ML for the end ...

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Showing results 21-40

Data Scientist Machine Learning information

See Kentucky salary details

$32.6K

$106.6K

$170.7K

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

As of Aug 17, 2026, the average yearly pay for data scientist 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 is a data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What is the salary of data scientist in machine learning?

The salary of a data scientist specializing in machine learning typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in programming, statistical analysis, and tools like Python or TensorFlow may earn higher compensation.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Kentucky?

The most popular types of Data Scientist Machine Learning jobs in Kentucky are:

What are popular job titles related to Data Scientist Machine Learning jobs in Kentucky?

For Data Scientist Machine Learning jobs in Kentucky, the most frequently searched job titles are:

Infographic showing various Data Scientist Machine Learning job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $106,602 per year, or $51.3 per hour.

Machine Learning Engineer

S27a

On-site

$140 - $210/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Responsible for developing next-generation AI systems designed to simplify task automation for users. This role involves designing, evaluating, deploying, and maintaining AI solutions, utilizing both Large Language Models (LLMs) and Bardeen's custom models in areas such as semantic parsing, dialog systems, agents, and text generation. The position collaborates with engineers to integrate AI features into Bardeen's products, ensuring a high-quality user experience.

Specific duties include:

  • Research, design, and implement machine learning algorithms to optimize workflow automation.

  • Develop, test, and modify computer programs to apply machine learning models to real-world applications.

  • Research, design, and implement machine learning and AI algorithms to model real world processes, including process discovery, process conformance, and opportunity identification for automation and AI agents.

  • Develop, test, and modify computer programs that apply machine learning models to operational data sources such as event logs, clickstreams, tickets, documents, and call transcripts.

  • Design and improve methods for process and entity extraction from unstructured and semi structured data, including tasks, systems, stakeholders, and key business objects.

  • Stay familiar with and evaluate state of the art research in process mining, workflow intelligence, representation learning for events and processes, and LLM based planning and tool use, and translate it into practical enterprise solutions.

  • Perform statistical analysis and apply data mining techniques to diagnose bottlenecks, measure impact, and improve model performance and robustness in production settings.

  • Deploy machine learning models into production systems, ensuring scalability and efficiency.

  • Maintain, monitor, and enhance deployed machine learning systems to ensure continuous improvement.

  • Collaborate with software engineers, data scientists, and product teams to integrate AI solutions.

  • Prepare technical documentation and reports detailing methodologies and outcomes.

  • Utilize cloud computing platforms such as AWS and GCP to manage large-scale data processing and storage.

  • Ensure compliance with industry standards, data governance, and security protocols for machine learning applications.

Job Requirements:

Requires a Master's degree in Computational Science and Engineering, or a closely related field that focuses on Machine Learning, and 1 year of experience.

Experience must include:

  • Experience with modern deep learning models, particularly large language models (LLMs) and multimodal architectures used for understanding text, structured data, and behavioral traces.

  • Familiarity with OpenAI, Anthropic, or Hugging Face Transformers (GPT, Mistral, LLaMA, etc.).

  • Experience with Python, Hugging Face, and OpenAI, Gemini and Anthropic SDKs.

  • Experience with designing evaluation frameworks, benchmarking model variants, and measuring before/after impact.

  • Experience with production-grade data and inference infrastructure, including AWS and GCP.

  • Experience with monitoring, optimization, and scaling of LLM inference workloads across distributed systems.

  • Experience with ML and AI algorithms to model real world business processes and identification of high impact automation and AI agent opportunities.

  • Experience with using LLMs for performing statistical analysis.

Remote work is permitted. Travel is required to unanticipated locations nationwide. Travel is less than 5% of time.

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