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Statistical Engineer Jobs in Illinois (NOW HIRING)

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Statistical Engineer information

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$32K

$91.1K

$141K

How much do statistical engineer jobs pay per year?

As of Jul 29, 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 are Statistical Engineers?

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 salary of a Statistical Engineer?

The average salary of a Statistical Engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals in this role often work with statistical software and data analysis tools, and advanced certifications can influence earning potential.

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.

What does a Statistical Engineer do?

A Statistical Engineer designs and applies statistical models and data analysis techniques to solve complex problems, often working with large datasets and programming tools like R or Python. They develop algorithms, validate data quality, and collaborate with teams to improve processes and decision-making based on quantitative insights.

Are statisticians highly paid?

Statistical engineers and statisticians are generally well-paid professions, with salaries often above the national average due to their specialized skills in data analysis, modeling, and programming. Compensation varies based on experience, education, industry, and location, with roles requiring proficiency in tools like R, Python, or SAS typically offering higher salaries.

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 engineers make $500,000?

Highly experienced engineers in specialized fields such as petroleum engineering, aerospace engineering, or software engineering with senior or executive roles can earn $500,000 or more annually. These positions often require advanced skills, certifications, and extensive industry experience, and may include bonuses or stock options.
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.

Lead Statistical Analyst

Tata Consultancy Service Limited

Chicago Ridge, IL • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

Required Skillsets:
• Experience in leading a team of statistical programmers for a compound/indication or therapeutic area
• Proficiency in SAS / R programming languages to Program and validate ADaM , TFL and statistical analyses
• In-depth understanding of SAS programming concepts and techniques in drug development process and clinical study life cycle
• Good to have experience in other statistical programming languages (R).
• In-depth understanding of CDISC standards and therapeutic area (Oncology, Immunology , Neuroscience Etc.)
• Experience with regulatory filings.
• Effective communication skills (both written and verbal)
• Ability to effectively represent the Statistical Programming Organization in cross functional teams (Statisticians, Clinical Data Management, Medical Writing, Regulatory Publishing and Clinical Operations).
• Ability to accurately estimate effort required for project related programming activities.
• Ability to work collaboratively in a team environment and adapt to changing priorities and deadlines
Key Responsibilities:
1. Leads the statistical programming activities for a compound/inidication.
2. Leads a team of statistical programmers and manages the resource planning for assigned staff.
3. Ensures timely deliverables, that all quality processes are followed and consistency within the projects.
4. Develops and oversees the development of SAS programs for the creation of ADaM data sets following CDISC standards.
5. Develops and oversees the development of SAS programs for the creation of Tables, Listings and Figures.
6. Ensures consistency of ADaM data sets for individual studies and integrated data.
7. Creates documentation for regulatory filings including reviewers guides and data definition documents.
8. Leads the development of standard SAS Macros and participates in the development of standard operating procedures.
9. Provides oversight and mentoring of assigned Statistical Programmers, Statistical Analysts and Senior Statistical Analysts.
Salary Range: $130,000- 150,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal As sistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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