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Senior Data Scientist Machine Learning Jobs in Kentucky

$140 - $220/hr

The Engineering Manager of Machine Learning Engineering (MLE) leads a team of engineers and technical staff in developing and deploying cutting‑edge data science, artificial intelligence (AI), and ...

New

$78 - $176/hr

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artifi cia l ...

$140 - $190/hr

Senior Machine Learning Engineer Location: Hybrid - Arlington, Virginia Employment Type: Full-time ... Experience working on large-scale data systems and collaborating closely with data scientists ...

New

$90 - $130/hr

Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field ...

$145 - $228/hr

Senior Data Scientist - AI/ML (Immunology & Oncology Imaging) Within DAGS, our AI/ML team drives ... Apply zero-shot and weakly supervised learning methods to extract immune signals from H&E and IHC ...

New

$120 - $150/hr

... Senior Data Scientist to lead advanced analytics, performance measurement, and data-driven decision ... Stay current on emerging technologies, machine learning techniques, analytics platforms, and ...

New

$195 - $260/hr

Data Scientist CANDIDATES MUST HAVE AN ACTIVE TS/SCI w/ Poly For over 40 years, DCCA has provided a ... Design, develop, and validate predictive models, statistical algorithms, and machine learning ...

$90 - $200/hr

Growing CapTech's Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior ...

$140 - $190/hr

Translate machine learning concepts into practical, scalable production solutions with a strong ... Bachelor's degree in computer science, engineering, statistics, mathematics, data science, or ...

New

$120 - $190/hr

As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior and Lead engineers of the Data Science & Tools Team to analyze Samsung's deployed network elements.

$120 - $180/hr

Demonstrated experience creating machine learning models that conduct text classification and topic ... that data to senior leadership. * Conduct advanced statistical analysis on personnel and ...

$180 - $200/hr

Define and lead an integrated data strategy spanning analytics & reporting, data science, machine learning, and AI - aligned to Vibrant's goals and program priorities. Serve as Vibrant's senior data ...

$162 - $185/hr

Principal Associate, Data Scientist - Bank Operations Data Science Data is at the center of ... Build machine learning models through all phases of development, from design through training ...

$140 - $165/hr

# Remote Data Scientist Job at NexUSA5 hours agoFull TimeUSA$140000 - $165000 ... Machine Learning* Medical* Spark* UnitySkills required for this role include SQL, Redis, Python ...

$179 - $210/hr

... Senior Data Scientist, Product , you will help answer big, foundational questions to shape our ... Lifestyle wallet -- a highly flexible benefits spending account for wellness, learning, and more.

$118 - $153/hr

Work cross-functionally with data scientists, data engineers, and IT teams to design, develop, deploy, and integrate high-performance, production-grade machine learning solutions and data intensive ...

New

$140 - $190/hr

As a Senior Machine Learning Operations Engineer you'll be embedded in a team of talented data ... In close collaboration with data scientists you'll own our production models, ensuring optimal ...

$85 - $130/hr

Data Science* Excel* Git### Secondary Skills ... Machine Learning* Medical* MEAN* Spark* Statistics* UnitySkills required for this role include SQL ...

Showing results 41-60

Senior Data Scientist Machine Learning information

See Kentucky salary details

$93.8K

$127.8K

$150.3K

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

As of Aug 22, 2026, the average yearly pay for senior data scientist machine learning in Kentucky is $127,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,591.00 and $141,389.00 per year, depending on experience, location, and employer.

What does a senior data scientist specializing in machine learning do?

A Senior Data Scientist in Machine Learning leads the development, implementation, and optimization of advanced statistical and machine learning models to solve business problems. They analyze large, complex datasets, design predictive algorithms, and collaborate with cross-functional teams to integrate models into production systems. Additionally, they mentor junior data scientists, contribute to setting technical strategy, and often communicate findings to stakeholders to drive data-driven decision-making.

What are the key skills and qualifications needed to thrive as a senior data scientist in machine learning?

To thrive as a Senior Data Scientist in Machine Learning, you need advanced expertise in statistics, programming (Python or R), and machine learning algorithms, typically backed by a relevant degree (such as in computer science or mathematics) and several years of experience. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms (AWS, GCP, or Azure), as well as experience with big data technologies, is essential. Strong problem-solving, communication, and project leadership skills help drive impactful solutions and foster collaboration across teams. These skills ensure the successful design, deployment, and scaling of machine learning models that deliver business value.

How does a senior data scientist specializing in machine learning typically collaborate with cross-functional teams?

Senior Data Scientists in Machine Learning often work closely with product managers, software engineers, and business analysts to understand project goals and translate them into actionable data solutions. They are responsible for communicating complex technical concepts to non-technical stakeholders, ensuring that ML models align with business objectives. Collaboration frequently involves participating in regular strategy meetings, reviewing data pipelines with engineering teams, and providing insights that guide product development. This cross-disciplinary teamwork is essential for successfully deploying machine learning models into production environments.

What is the difference between Senior Data Scientist Machine Learning vs Data Scientist?

AspectSenior Data Scientist Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, Statistics, or related field; experience with ML frameworksBachelor's or Master's in relevant field; foundational knowledge of data analysis
Work EnvironmentAdvanced analytics teams, R&D, product developmentData analysis teams, business intelligence, reporting
Employer & Industry UsageTech companies, finance, healthcare, e-commerceSimilar industries, often entry to mid-level roles

The main difference is that Senior Data Scientist Machine Learning roles require more experience, advanced skills in ML frameworks, and often involve leading projects. Data Scientists typically focus on data analysis and reporting with less emphasis on complex ML models. Senior roles also tend to involve mentorship and strategic input.

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 cities in Kentucky are hiring for Senior Data Scientist Machine Learning jobs?

Cities in Kentucky with the most Senior Data Scientist Machine Learning job openings:

Engineering Manager - Machine Learning Engineering

The Aerospace Corporation

On-site

$140 - $220/hr

Other

Medical, Retirement, PTO

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


Job description

The Aerospace Corporation is the trusted partner to the nation’s space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space— delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you’ll be part of a special collection of problem solvers, thought leaders, and innovators. Join us and take your place in space.

Information Systems and Cyber Division (ISCD) staff couple the latest in information system technologies, such as elastic compute clouds, containerization, microservices, real-time operating systems, and visualization frameworks, with expertise in cyber security, software architecture, software engineering, data science, Artificial Intelligence, process improvement, and software development to deliver responsive, resilient, high-performance software intensive systems to our Intelligence Community, DoD, and civilian customers.

The Engineering Manager of Machine Learning Engineering (MLE) leads a team of engineers and technical staff in developing and deploying cutting‑edge data science, artificial intelligence (AI), and machine learning (ML) solutions. This role bridges the gap between innovation and implementation, transforming proof‑of‑concept models into production‑ready applications that deliver real business value. This position is a critical leadership role that coordinates technical assignments, deliverable execution, customer relationships, career development, technical consultation, and overall direction. The Engineering Manager provides leadership to the MLE section and contributes to technical projects that solve customer problems.

Work Model

This is a full‑time position based in Chantilly, VA.

What You’ll Be Doing
  • Provides task planning, schedule, and labor estimates for proposed technical work assignments.
  • Advises supervision of resources needs and capabilities.
  • Provides inputs for budgetary planning.
  • Participates in day-to-day technical activities and task accomplishments.
  • Monitors and evaluates processes, techniques, and performance.
  • Reviews documentation and delivery of services.
  • Works closely with customers to coordinate tasking, report progress, resolve technical issues, and assure project success.
  • Initiates and coordinates exchanges of technical information with other work groups and organizations.
  • Prepares written and oral reports of organization’s activities, issues, and accomplishments to higher management, subordinates, and teaming organizations.
  • Recommends staffing needs, reassignments, transfers, and terminations.
  • Recommends and assists evaluation of potential staff additions.
  • Conducts performance reviews, recommends performance improvements, career development, and promotional actions.
  • Implements policies, practices, and operating processes and recommends changes and improvements to supervision.
  • Responsible for compliance with security monitoring, processes, and recommendations.
  • Participates in inter-organizational team assignments and educational activities.
  • Identifies opportunities for additional, expanded, and new business.
  • Aids in the evaluation and pursuit of new business opportunities.
  • Supervises and provides technical direction to engineering and engineering support staff involved in design and development efforts on shorter-range or discrete product outputs.
  • Assigns specific task responsibilities to engineering and support personnel to achieve work schedule requirements.
  • Specifies, monitors, and evaluates techniques and operating procedures.

Some travel may be required.

Minimum Requirements:

Bachelors degree in STEM with emphasis in Data Science, Computer Science,Electrical or Computer Engineering, Physics, Mathematics, or related field(s) 6 or more years of increasingly responsible professional engineering/scientific experience as a data scientist, machine learning engineer, or AI/ML researcher in any domain Demonstrated ability to lead, advise, and provide direction to subordinate team. Experience with and understanding of machine learning and artificial intelligence, software engineering, and statistics Proven ability to take initiative and successfully complete tasks, lead complex technical projects, and collaborate effectively. This position requires ability to obtain and maintain a security clearance, which is issued by the US government. U.S citizenship is required to obtain a security clearance Ability to establish and maintain effective working relationships with all levels of customers and corporate staff. Proven ability to organize and lead technical tasks. Demonstrated initiative and strong leadership skills, with proven ability to build and manage effective teams. Demonstrated ability to rapidly learn and apply new technical skills. Demonstrated ability in oral and written communication skills. Some travel may be required.

How You Can Stand Out
  • An advanced degree, from a recognized institution, in an appropriate technical discipline.
  • Strong background in software development, algorithms, Data Science, Machine Learning, and Computer Vision.
  • Broad exposure to the Machine Learning needs of Aerospace program offices and commercial customer base.
  • Strong background with tools and techniques for ingesting, distilling, organizing, extracting and interpreting meaning from large and complex data sets.
  • Experience in leading large sets of diverse teams to accomplish difficult applied AI goals in the DoD enterprise
  • Demonstrated contributions to open-source software repositories (github, kaggle, etc.)
  • Active security clearance
Benefits

Benefits vary and are applicable based on Job Type. A few highlights include:

  • Comprehensive health care and wellness plans
  • Paid holidays, sick time, and vacation
  • Standard and alternate work schedules, including telework options
  • 401(k) Plan — Employees receive a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire
  • Flexible spending accounts
  • Variable pay program for exceptional contributions
  • Relocation assistance
  • Professional growth and development programs to help advance your career
  • Education assistance programs
  • An inclusive work environment built on teamwork, flexibility, and respect
Equal Opportunity Commitment

The Aerospace Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, age, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity or expression, color, religion, genetic information, marital status, ancestry, national origin, protected veteran status, physical disability, medical condition, mental disability, or disability status and any other characteristic protected by state or federal law.

If you’re an individual with a disability or a disabled veteran who needs assistance using our online job search and application tools or need reasonable accommodation to complete the job application process, please contact us by phone at 310.336.5432 or by email at peoplemangmnt.mailbox@aero.org . You can also review Know Your Rights: Workplace Discrimination is Illegal.

Right Place The Aerospace Corporation has over 26 locations nationwide, which allows us to build a workforce that will nurture the best ideas, and generate the most novel innovations and solutions to our nation’s toughest space enterprise challenges.

Right Path Aerospace covers all stages of the space lifecycle, from concept to operations.

Right Purpose We can all serve a mission much greater than ourselves, and at Aerospace that is exactly what we do. By hiring the industry’s most preeminent scientists and engineers, Aerospace advances emerging technologies that protect some of the most critical missions on Earth and above it.

Aerospace employees working in organizations with technical responsibilities are required to obtain a Security Clearance. U.S. citizenship is required for those positions.

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