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Statistical Engineering Jobs in Utah (NOW HIRING)

Industrial Engineer

North Salt Lake, UT · On-site

$67K - $90K/yr

Bachelor's Degree in Industrial Engineering or related field. * 3-5 years of experience in ... Strong mathematical/statistical analysis skills including statistical analysis and simulation ...

Perform basic statistical analysis using engineering tools and software. * Contribute to maintainability assessments by recording repair times, tool requirements, and procedural steps. * Help ...

Industrial Engineer

North Salt Lake, UT · On-site

$67K - $90K/yr

Bachelor's Degree in Industrial Engineering or related field. * 3-5 years of experience in ... Strong mathematical/statistical analysis skills including statistical analysis and simulation ...

Perform basic statistical analysis using engineering tools and software. * Contribute to maintainability assessments by recording repair times, tool requirements, and procedural steps. * Help ...

Degree in Computer Science, Math, Statistics, Engineering, Economics, Information Systems, or hands on job experience with data science or analytics * You are committed to honesty and a diverse and ...

VP, Engineering & Continuous Improvement

Ogden, UT · On-site

$176K - $227K/yr

The Vice President of Engineering & Continuous Improvement is a strategic leader responsible for ... Proficiency in data analysis and statistical tools. Equal Opportunity Employer This employer is ...

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Statistical Engineering information

See Utah salary details

$56.1K

$65.8K

$73.4K

How much do statistical engineering jobs pay per year?

As of Jun 21, 2026, the average yearly pay for statistical engineering in Utah is $65,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $70,200.00 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 job categories do people searching Statistical Engineering jobs in Utah look for? The top searched job categories for Statistical Engineering jobs in Utah are:
What cities in Utah are hiring for Statistical Engineering jobs? Cities in Utah with the most Statistical Engineering job openings:

Process Engineer - Industrial Plant - UT #2064

Right Talent Right Now

Salt Lake City, UT

Full-time

Posted 2 days ago


Job description

Job Description

We need a chemical engineer with process engineering in a heavy industrial environment. 

Large metals and chemical producer in Salt Lake City looking for a Process Engineer.

We are looking for a Process Engineer with a heavy industrial background on the technical chemical or lab side of the business.   

BS Degree in Chemical Engineering with 5 years heavy industrial process engineering experience in transport phenomena, thermodynamics, process economics, statistical analysis, process equipment, chemical instrumentation and mathematical modeling.


Bottom Line Requirements:

1. Bachelor's Degree in Chemical Engineering. (must be a chemical engineering degree)

2. 5+ years of heavy industrial process engineering.

3. Experience in transport phenomena, thermodynamics, process economics, statistical analysis, process equipment, chemical instrumentation and mathematical modeling.

Additional Information

All your information will be kept confidential according to EEO guidelines.