ZipRecruiter

Log In

1

Statistical Engineer Jobs in Illinois (NOW HIRING)

AbbVie

Engineer, Technology I

Mettawa, IL · Hybrid

$132K - $162K/yr

Qualifications Education & Experience Must have a BS in Computer Science, Mathematics, Statistics, Engineering, Electronics, or other quantitative field or foreign education equivalent & 4 years as a ...

AbbVie

Engineer, Technology I

Mettawa, IL · On-site

$132K - $162K/yr

Qualifications Education & Experience Must have a BS in Computer Science, Mathematics, Statistics, Engineering, Electronics, or other quantitative field or foreign education equivalent & 4 years as a ...

Sterling Engineering Inc.

Process Engineer

Mchenry, IL

$100K - $125K/yr

Process Engineer Location : Northwestern Suburbs of Chicago, IL - McHenry, IL Full Time Permanent ... Utilize statistical tools and data analysis to drive decision-making and process improvements.

Adecco

Statistician/Biostatistician

North Chicago, IL · On-site +1

$45/hr

This remote role will focus on statistical analysis, study design, data interpretation, and regulatory submission support. The ideal candidate will have strong SAS programming skills, experience with ...

Coilcraft

Quality Engineer

Cary, IL · On-site

$65K - $110K/yr

Quality Engineer Location: Cary, Illinois Coilcraft, Inc. is a privately held global manufacturer ... Strong understanding of quality tools and statistical methods * Excellent communication and ...

previous page

Showing results 41-60

All JobsStatistical Engineer JobsStatistical Engineer Jobs in Illinois

Statistical Engineer information

See Illinois salary details

$32K

$91.1K

$141K

How much do statistical engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for statistical engineer in Illinois is $91,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,100.00 and $105,100.00 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 skills in statistical analysis, mathematics, and data interpretation, usually backed by a degree in statistics, engineering, or a related field. Familiarity with statistical software (such as R, SAS, or Python), data visualization tools, and knowledge of quality control systems are typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for translating data insights into actionable solutions. These skills ensure accurate data-driven decision-making and process optimization, which are vital for organizational success.

What is a statistical engineer?

Statistical Engineers are professionals who apply statistical methods and techniques to solve engineering and production-related problems. They analyze data, design experiments, and develop models to optimize processes, improve product quality, and support decision-making in various industries. Their work often involves collaborating with engineers, scientists, and business teams to interpret data and implement solutions that enhance efficiency and reliability.

What is the difference between Statistical Engineer vs Data Scientist?

AspectStatistical EngineerData Scientist
Required CredentialsBachelor's or Master's in Statistics, Mathematics, or related field; often some programming skillsBachelor's or Master's in Data Science, Statistics, or related; strong programming and analytical skills
Work EnvironmentFocus on developing and optimizing statistical models, often in engineering or manufacturing settingsAnalyze large datasets, build predictive models, and communicate insights across various industries
Employer & Industry UsageUsed in manufacturing, engineering, and technology sectors for process improvementCommon in tech, finance, healthcare, and marketing for data analysis and modeling

While both roles require strong statistical knowledge and programming skills, Statistical Engineers primarily focus on developing and implementing statistical models within engineering contexts. Data Scientists tend to work more broadly on analyzing data, building predictive models, and deriving insights across diverse industries.

How does a statistical engineer typically collaborate with cross-functional teams in a project-driven environment?

Statistical Engineers often work closely with professionals from diverse fields such as data science, software engineering, quality assurance, and business analytics. In a project-driven environment, they are responsible for designing experiments, analyzing large datasets, and interpreting results to inform decision-making. Collaboration usually involves participating in regular meetings, communicating complex statistical findings in an accessible way, and ensuring that analytical methods align with the team's objectives. This cross-functional teamwork not only enhances project outcomes but also helps Statistical Engineers develop broader professional skills and a deeper understanding of the organization's operations.
What are popular job titles related to Statistical Engineer jobs in Illinois? For Statistical Engineer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Statistical Engineer jobs in Illinois look for? The top searched job categories for Statistical Engineer jobs in Illinois are:
Statistical Engineer jobs near you
Infographic showing various Statistical Engineer job openings in Illinois as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $91,117 per year, or $43.8 per hour.

Validation Engineer

Sterling Engineering Inc.

Buffalo Grove, IL • On-site

$55 - $65/hr

Full-time

Re-posted 15 days ago

Job description

Validation Engineer – Injection Molding
Location: Buffalo Grove Il
Hire Type: Contract
Shift: 1st Shift | Monday–Friday
Compensation: $55–$65/hour
Overview
We are seeking a hands-on Validation Engineer with experience supporting plastic injection molding manufacturing within a regulated environment. This individual will lead equipment, process, and manufacturing validations while partnering closely with Manufacturing Engineering, Quality, Operations, and Automation teams to ensure new and existing molding processes meet quality and regulatory requirements.
The ideal candidate will have experience developing and executing IQ/OQ/PQ protocols, validating injection molding equipment and processes, troubleshooting manufacturing issues, and supporting continuous improvement initiatives in a medical device, pharmaceutical, or similarly regulated manufacturing environment.
Key Responsibilities
Develop, execute, and approve IQ, OQ, and PQ validation protocols for injection molding equipment, automation, and manufacturing processes.
Lead validation activities for new product introductions, equipment installations, process transfers, and manufacturing changes.
Validate injection molding processes including process windows, machine qualifications, tooling, auxiliary equipment, and automation systems.
Perform risk assessments utilizing FMEA and other risk management tools.
Investigate validation failures, process deviations, and nonconformances while implementing effective corrective actions.
Analyze process capability, statistical data, and validation results to ensure robust manufacturing processes.
Collaborate with Manufacturing Engineering to optimize molding parameters, cycle times, and process performance.
Support mold qualifications, process characterization, and production readiness activities.
Prepare validation reports, technical documentation, protocols, and supporting engineering documentation.
Participate in equipment FAT/SAT activities when applicable.
Ensure validation documentation complies with FDA, ISO 13485, GMP, and internal quality standards.
Support CAPA investigations, change control activities, and regulatory audits.
Work cross-functionally with Engineering, Quality, Production, Tooling, Automation, and Regulatory Affairs teams.

Qualifications
Bachelor's degree in Engineering or related technical discipline.
3+ years of validation engineering experience within a manufacturing environment.
Hands-on experience validating plastic injection molding processes and equipment.
Strong knowledge of IQ/OQ/PQ methodologies and validation lifecycle documentation.
Experience with process validation, equipment qualification, and manufacturing process development.
Familiarity with scientific molding principles and process optimization.
Experience with statistical analysis tools and process capability studies.
Knowledge of risk management methodologies including PFMEA/FMEA.
Strong technical writing and documentation skills.

Preferred Qualifications
Medical device, pharmaceutical, or highly regulated manufacturing experience.
Experience with automated manufacturing equipment, robotics, vision systems, and PLC-controlled equipment.
Knowledge of FDA 21 CFR Part 820, ISO 13485, GMP, and GAMP guidance.
Experience with injection mold qualification, tooling validation, and mold transfers.
Familiarity with cleanroom manufacturing environments.
Experience supporting CAPA, NCR investigations, and change control processes.
Working knowledge of Minitab or other statistical software.

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.