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Statistical Engineering Jobs in Wheaton, IL (NOW HIRING)

Sterling Engineering Inc.

Quality Engineer

Barrington, IL

$90K - $110K/yr

Apply statistical methods to collect, analyze, interpret, and summarize production data to improve ... Bachelor's degree in Mechanical Engineering, Industrial Engineering, or related field. * 5-8+ years ...

Kemper

Data Science Manager

Chicago, IL · Hybrid

PhD in Mathematics, Statistics, Engineering, or other STEM fields preferred with 4-6 years of experience in insurance industry or related industry in a data science, analytics, or AI environment.

Kemper

Data Scientist

Chicago, IL · On-site +1

Graduate degree inMathematics,Statistics,Engineering, or other STEM field with2-4 yearsofexperience working in a data science/analyticsenvironment. * PhD inMathematics,Statistics,Engineering, or ...

TransUnion

Lead Data Scientist

Chicago, IL

$100K - $160K/yr

We have a wealth of data and industry experience within our large group of highly-trained analysts, statisticians, engineers, and economists. We also have a modern computing environment based on best ...

Transunion

Lead Data Scientist

Chicago, IL

$100K - $160K/yr

We have a wealth of data and industry experience within our large group of highly-trained analysts, statisticians, engineers, and economists. We also have a modern computing environment based on best ...

慨正橡扯

Lead Data Scientist

Chicago, IL · On-site

$100 - $160/hr

We have a wealth of data and industry experience within our large group of highly-trained analysts, statisticians, engineers, and economists. We also have a modern computing environment based on best ...

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Showing results 21-40

All JobsStatistical Engineering JobsStatistical Engineering Jobs in Wheaton, IL

Statistical Engineering information

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 job categories do people searching Statistical Engineering jobs in Wheaton, IL look for? The top searched job categories for Statistical Engineering jobs in Wheaton, IL are:
What cities near Wheaton, IL are hiring for Statistical Engineering jobs? Cities near Wheaton, IL with the most Statistical Engineering job openings:
Statistical Engineering jobs near you
Infographic showing various Statistical Engineering job openings in Wheaton, IL as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Quality Engineer

Sterling Engineering Inc.

Barrington, IL

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Job description

Title: Senior Quality Engineer
Location: Lake Zurich, IL 60047
Hire Type: Direct Hire
Salary: $90k-110k/yr.
Benefits: Medical, Dental, Vision, 401(k) with Match, Life Insurance, Tuition Reimbursement, PTO, Paid Holidays

This role is for a Senior Quality Engineer who will serve as a key resource for quality requirements, processes, investigations, and continuous improvement initiatives within a fast-paced manufacturing environment. The position supports multiple industries including aerospace, automotive, medical, energy, robotics, and industrial machinery.

Job Duties:
  • Lead key continuous improvement quality projects.
  • Apply statistical methods to collect, analyze, interpret, and summarize production data to improve efficiency.
  • Work directly with internal and external customers to resolve quality questions, concerns, complaints, and rejects.
  • Collaborate with cross-functional departments to address quality issues and drive corrective actions through implementation and verification.
  • Support the inspection department with internal investigations and material disposition.
  • Conduct internal audits, customer audits, supplier audits, and customer visits as required.
  • Utilize statistical tools including correlation, regression, gage R&R, process capability, SPC, and analysis of variance to improve manufacturing capability.
  • Facilitate structured problem-solving methods such as fishbone diagrams and 5-Why analysis.
  • Manage multiple quality improvement projects in a fast-paced manufacturing environment.
Qualifications:
  • Bachelor’s degree in Mechanical Engineering, Industrial Engineering, or related field.
  • 5–8+ years of experience in a manufacturing quality environment.
  • Experience working with quality standards such as IATF 16949, ISO 13485, and AS9100.
  • Experience with APQP, PPAP, FMEA, Control Plans, and QMS processes.
  • Strong background in corrective actions, root cause analysis, and structured problem-solving tools.
  • Proficiency using statistical analysis tools to evaluate and improve manufacturing processes.
  • Experience conducting internal QMS audits.
  • Automotive, aerospace, or medical manufacturing experience preferred.
  • Strong communication skills with the ability to work effectively with internal teams and external customers.
Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information.