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Statistical Engineering Jobs in Kentucky (NOW HIRING)

Mural Group

Process Engineer

Morganfield, KY

$90K - $110K/yr

Apply statistical methods to analyze performance and improve process capability * Improve existing ... Review engineering drawings, specifications, and production data to resolve design and ...

Dana

Quality Engineer

Danville, KY

$59K - $76K/yr

... engineering, manufacturing, and distribution facilities. Job Purpose We are seeking a driven and ... Studies, and other statistical tools. * Prevention and resolution of Customer Concerns through the ...

Dana Incorporated

Quality Engineer

Danville, KY · On-site

$59K - $76K/yr

... engineering, manufacturing, and distribution facilities. Job Purpose We are seeking a driven and ... Studies, and other statistical tools. * Prevention and resolution of Customer Concerns through the ...

Ford Motor Company

Quality Engineer, Ford Energy

Glendale, KY · On-site

$66K - $85K/yr

Experience: 3+ years of manufacturing process or quality engineering experience in an automated manufacturing facility. * Technical Knowledge: Working knowledge of statistics (control charts, data ...

SynergisticIT

Full Stack Java Developer

Richmond, KY · On-site

$48.50 - $62.75/hr

Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry We welcome candidates with all visas and citizens to ...

Dana Incorporated

Quality Engineer

Danville, KY · On-site

$59K - $76K/yr

... engineering, manufacturing, and distribution facilities. Job Purpose We are seeking a driven and ... Studies, and other statistical tools. * Prevention and resolution of Customer Concerns through the ...

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All JobsStatistical Engineering JobsStatistical Engineering Jobs in Kentucky

Statistical Engineering information

See Kentucky salary details

$55.3K

$64.8K

$72.4K

How much do statistical engineering jobs pay per year?

As of Jun 27, 2026, the average yearly pay for statistical engineering in Kentucky is $64,842.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,200.00 and $69,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Statistical Engineer, and why are they important?

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What engineers make $300,000 a year?

Senior statistical engineers or data science leaders with extensive experience, advanced skills in statistical modeling, programming, and data analysis can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and leadership responsibilities in industries like finance, technology, or pharmaceuticals.

What do statistical engineers do?

Statistical engineers develop and implement statistical models and methods to analyze complex data, often focusing on process improvement and quality control. They use tools like statistical software and programming languages such as R or Python and collaborate with data scientists and engineers to optimize systems and decision-making processes.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain roles in financial engineering can earn $500,000 or more annually, often including bonuses and stock options. High compensation typically requires extensive experience, advanced skills, and working in high-demand industries or leadership positions.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

How much does a Statistical Engineer make?

The average salary for a Statistical Engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals in this role often use statistical software and data analysis tools, and advanced skills can lead to higher compensation.

How does a Statistical Engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.
What are popular job titles related to Statistical Engineering jobs in Kentucky? For Statistical Engineering jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Kentucky look for? The top searched job categories for Statistical Engineering jobs in Kentucky are:
What cities in Kentucky are hiring for Statistical Engineering jobs? Cities in Kentucky with the most Statistical Engineering job openings:
Statistical Engineering jobs near you

Process Engineer

Mural Group

Morganfield, KY

$90K - $110K/yr

Full-time

Posted 23 days ago

Job description

Position Overview

Mural Group is partnering with a global manufacturing organization to hire a Process Engineer focused on coatings and adhesive applications within a high-volume production environment. This role is responsible for optimizing how materials are applied, cured, and validated to ensure consistent product quality and performance. You will play a key role in reducing defects, improving process capability, and supporting production through hands-on engineering and troubleshooting.


What You’ll Do

  • Design and optimize coating and adhesive application processes including spray, dip, curing, and surface preparation
  • Evaluate and test new coating materials, adhesives, and sealants for specific product applications
  • Perform root cause analysis on coating defects, adhesion failures, and material-related issues
  • Develop and maintain technical documentation including SOPs, work instructions, and quality standards
  • Lead process trials, validate results, and manage testing budgets
  • Partner with planning, design, and production teams to ensure manufacturability and efficient process flow
  • Apply statistical methods to analyze performance and improve process capability
  • Improve existing processes to reduce scrap, increase yield, and lower production cost
  • Support minor tooling adjustments and collaborate with machine shop on fixtures and new tooling
  • Review engineering drawings, specifications, and production data to resolve design and manufacturing issues
  • Own quality outcomes for the process, including authority to stop production for nonconforming material
  • Modify tooling and process parameters based on trial and production data to improve performance and durability
  • Maintain compliance with engineering standards, safety requirements, and environmental regulations


What You Bring

  • Bachelor’s degree in Chemical Engineering, Materials Science, Chemistry, or a related field
  • 3+ years of experience in manufacturing with exposure to coatings, adhesives, or surface treatment processes
  • Strong understanding of coating application methods and curing systems
  • Experience with adhesion testing and surface characterization techniques
  • Proven ability to troubleshoot process issues and drive root cause resolution
  • Mechanical aptitude with hands-on approach to problem solving
  • Strong communication skills and ability to work cross-functionally
  • Ability to operate in a fast-paced production environment and manage multiple priorities


Preferred Background

  • Experience in high-volume or automotive manufacturing environments
  • Familiarity with statistical analysis and process capability tools
  • Exposure to tooling, fixtures, and machine shop collaboration
  • Experience working with regulated materials or environmental compliance standards