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Internship Masters Level Statistician Jobs in Addison, IL

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Internship Masters Level Statistician information

See Addison, IL salary details

$40.6K

$83.8K

$117.2K

How much do internship masters level statistician jobs pay per year?

As of Aug 12, 2026, the average yearly pay for internship masters level statistician in Addison, IL is $83,813.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,100.00 and $116,200.00 per year, depending on experience, location, and employer.

What is the difference between Internship Masters Level Statistician vs Data Analyst?

AspectInternship Masters Level StatisticianData Analyst
Required CredentialsMaster's degree in statistics or related field; internship experienceBachelor's degree in statistics, data science, or related field; some roles prefer experience
Work EnvironmentInternship setting, often in research or corporate environmentsOffice-based, working with data visualization, reporting, and analysis tools
Employer & Industry UsageResearch institutions, government agencies, corporations during internshipsBusinesses across industries, including finance, healthcare, marketing

The Internship Masters Level Statistician typically focuses on gaining practical experience during their master's program, often in research or academic settings. In contrast, Data Analysts are usually employed full-time to analyze and interpret data in various industries. While both roles require strong statistical skills, the internship role is more educational and entry-level, whereas data analysts often have more independent responsibilities.

Statistical Analyst, Education & Employment (Remote Eligible)

Mathematica

Chicago, IL • On-site, Remote

Full-time

Re-posted 24 days ago


Job description

Mathematicaapplies expertise at the intersection of data, methods, policy, and practice toimprove well-being around the world. We collaborate closely with public- andprivate-sector partners to translate big questions into deep insights thatimprove programs, refine strategies, and enhance understanding. Our work yieldsactionable information to guide decisions in wide-ranging policy areas, fromhealth, education, early childhood, and family support to nutrition,employment, disability, and international development. Mathematica offers ouremployees competitive salaries, and a comprehensive benefits package, as wellas the advantages of being 100 percent employee owned. As an employee stockowner, you will experience financial benefits of ESOP holdings that haveincreased in tandem with the company's growth and financial strength. You willalso be part of an independent, employee-owned firm that is able to define andfurther our mission, enhance our quality and accountability, and steadily growour financial strength. Learn more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance
We are seeking a masters-level Statistical Analyst to joinour vibrant group of over 20 statisticians and data scientists. Thecontributions of our statisticians and statistical analysts underpin ourability to produce crucial evidence for policy and decision makers, ultimatelyfurthering our mission to improve public well-being. For example, ourstatistical analysts have contributed to projects developing COVID-19 decisiontools, extending state-of-the-art methods for identifying treatment effectheterogeneity to enhance primary care delivery, and leveraging Bayesianfactorial design to improve the presentation of school choice information tolow-income parents.

Statistical Analysts will support projects within our Education & Employment(EE) portfolios.

As part of their employment, statistical analysts benefit from thementorship of more senior statisticians and subject-matter experts, learningnew techniques and familiarizing themselves with new topic areas throughinvolvement in analyses.
Responsibilities:
Analysis:
Apply statistical and quantitative methods to evaluate and improve social programs and policies, with the oversight of more senior statisticians. Assist in designing rigorous studies, determining appropriate analytic methods, selecting survey samples, calculating nonresponse adjustments, analyzing survey responses, and interpreting findings.
Programming:
Write programs to perform all stages of quantitative analysis, including: (1) conduct data extraction, cleaning, and manipulation, (2) apply advanced statistical and quantitative techniques appropriate for both survey and administrative data, and (3) develop programs to calculate descriptive statistics, populate tables, and visualize results.
Communication:
Draft sections of reports, including technical appendices, and presentations for colleagues, policymakers and other stakeholders. Communicate findings to internal project teams via memos, presentations, or markdown files.