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Statistical Engineering Jobs in Wisconsin (NOW HIRING)

Beef Geneticist

De Forest, WI · On-site +1

$75K - $104K/yr

Strong statistical and computational expertise, including a deep understanding of models used in genomic evaluation. * Strong programming skills in R, Python, and/or other relevant analytical ...

Engineering Intern

Germantown, WI · On-site

$11.40 - $16.61/hr

Public Works Department - Engineering Opening Date: 02/03/2026 Summary of Job The Summer Intern ... Ability to interpret descriptive statistical reports. Reasoning Ability * Ability to exercise the ...

Summary of Job The Summer Intern applies civil engineering practices and principles in the design ... Ability to interpret descriptive statistical reports. Reasoning Ability Ability to exercise the ...

Bachelor's Degree in business, communications, advertising, marketing, statistics, engineering, technology, or health care. Master's Degree in business, communications, advertising, marketing ...

Use statistical analysis and engineering judgment to evaluate process performance, identify risks, improve efficiency, strengthen business continuity, and recommend maintenance, CIP, spare parts, and ...

Prepare these reports utilizing a PC with word processing, database, spreadsheet and statistical/graphical software. * Instruct and assign work to Engineering Technicians. Job Requirements * Requires ...

Performing process capability studies, statistical analysis and data-driven decision-making to ... Collaborate with engineering, production and quality assurance teams to develop and implement ...

Showing results 21-40

Statistical Engineering information

See Wisconsin salary details

$60.7K

$71.3K

$79.5K

How much do statistical engineering jobs pay per year?

As of Aug 10, 2026, the average yearly pay for statistical engineering in Wisconsin is $71,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,200.00 and $76,100.00 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 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 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 Wisconsin? For Statistical Engineering jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Wisconsin look for? The top searched job categories for Statistical Engineering jobs in Wisconsin are:
What cities in Wisconsin are hiring for Statistical Engineering jobs? Cities in Wisconsin with the most Statistical Engineering job openings:
Infographic showing various Statistical Engineering job openings in Wisconsin as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $71,257 per year, or $34.3 per hour.

Process Engineering Supervisor

Lakeside Recruiting Solutions

Sheboygan, WI • On-site

$105K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 23 days ago


Job description

Process Engineering Supervisor

The Process Engineering Supervisor is responsible for the development, design, and implementation of optimal, cost-effective manufacturing processes, and methods in accordance with product specifications and quality standards.

Responsibilities

  • Directs the Process Engineering Team to ensure timely and successful completion of assigned duties. Provides coaching and mentoring to improve job performance of direct reports.
  • Develops and optimizes continuous production and manufacturing processes to achieve the output, quality, and cost goals of the organization. Coordinates manufacturing launches for new or revised products.
  • Develops process control plans and gage R performs capability studies, design of experiments and FMEA
  • Collects production data and applies standard scientific and statistical methods to analyze, document, and diagram production processes.
  • Identifies process bottlenecks and devises solutions to resolve.
  • Recommends changes or upgrades to equipment, work methods, or other aspects of the process to improve efficiency and utilization of resources including labor, energy, and raw materials.
  • Define and Elaborate all Process documentation.

Qualifications

  • Bachelor’s Degree in Mechanical Engineering, Engineering Technology, or related field
  • Previous High Pressure Die Casting experience
  • Must have previous Supervisory or leadership experience