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Applied Statistician Jobs in Iowa (NOW HIRING)

S. or above in Applied Statistics, Artificial Intelligence, Biostatistics, Computer Science, Data Engineering, Data Science, Engineering, Machine Learning, Physics, Software Engineering, or related ...

S. or above in Applied Statistics, Artificial Intelligence, Biostatistics, Computer Science, Data Engineering, Data Science, Engineering, Machine Learning, Physics, Software Engineering, or related ...

Knowledge of applied statistical analysis, modeling techniques, and data visualization methods * Ability to demonstrate your development of algorithms and predictive models to solve a problem

New

Knowledge of applied statistical analysis, modeling techniques, and data visualization methods * Ability to demonstrate your development of algorithms and predictive models to solve a problem

New

Knowledge of applied statistical analysis, modeling techniques, and data visualization methods * Ability to demonstrate your development of algorithms and predictive models to solve a problem

Quality Engineer

Ankeny, IA ยท On-site

$68K - $88K/yr

Understanding of applied statistical methods including analysis of means, variation, and hypothesis testing is preferred. ASQ Certified Green Belt, Black Belt, or equivalent preferred. * Reasoning ...

Quality Engineer

Ankeny, IA ยท On-site

$65 - $90/hr

Understanding of applied statistical methods including analysis of means, variation, and hypothesis testing is preferred. ASQ Certified Green Belt, Black Belt, or equivalent preferred. * Reasoning ...

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Applied Statistician information

See Iowa salary details

$38K

$78.6K

$109.9K

How much do applied statistician jobs pay per year?

As of Sep 7, 2026, the average yearly pay for applied statistician in Iowa is $78,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $109,000.00 per year, depending on experience, location, and employer.

What is an applied statistician?

An applied statistician is a professional who uses statistical methods and techniques to collect, analyze, and interpret data in order to solve real-world problems. They work across various industries, such as healthcare, finance, government, and technology, to inform decision-making and improve processes. Applied statisticians design experiments, develop predictive models, and communicate their findings to stakeholders, often using specialized software and programming languages. Their work supports evidence-based strategies and helps organizations make informed choices.

What does an applied statistician do?

As an applied statistician, you apply statistical formulas and analysis to real-world situations. Your responsibilities and the scope of your job vary depending on the needs of your employer. You may develop a plan to collect data, perform analysis using statistical methods, and formulate a report on your findings. You may also use statistical analysis to solve specific problems or identify trends in an organization, a city, or an industry. You also use computer software to organize and analyze large amounts of data.

What are the key skills and qualifications needed to thrive as an applied statistician, and why are they important?

To thrive as an Applied Statistician, you need strong quantitative skills, a solid background in statistics or mathematics, and typically at least a bachelor's or master's degree in a related field. Familiarity with statistical software such as R, SAS, Python, or SPSS, and experience with data management systems are commonly required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and conveying findings to stakeholders. These skills ensure accurate data analysis, effective decision-making, and clear presentation of complex statistical concepts in real-world applications.

What are some common challenges an applied statistician faces when working with cross-functional teams?

Applied Statisticians often work closely with professionals from diverse backgrounds, such as engineers, business analysts, and subject matter experts. One common challenge is translating complex statistical concepts into actionable insights for non-technical stakeholders. Additionally, balancing the need for methodological rigor with practical constraints like tight deadlines and limited data quality can be demanding. Success in this role often depends on strong communication skills, adaptability, and the ability to collaborate effectively to ensure statistical analyses drive meaningful decisions.

What is the difference between Applied Statistician vs Data Analyst?

AspectApplied StatisticianData Analyst
Required CredentialsDegree in Statistics, Mathematics, or related field; often certifications in statistical softwareDegree in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentResearch settings, industries like healthcare, finance, manufacturing; focus on statistical modelingBusiness environments, marketing, finance; focus on data interpretation and reporting
Employer & Industry UsageEmployers seeking advanced statistical analysis for decision-makingOrganizations needing data-driven insights for operational improvements

Applied Statisticians and Data Analysts both work with data, but Applied Statisticians focus more on developing statistical models and methods, often requiring advanced statistical knowledge. Data Analysts typically handle data cleaning, visualization, and reporting to support business decisions. While their skills overlap, their roles differ in complexity and focus, with Applied Statisticians often involved in more technical, research-oriented tasks.

What is a good salary for an applied statistician?

The average salary for an applied statistician varies by experience, location, and industry, but typically ranges from $70,000 to $120,000 annually. Senior roles with advanced skills in statistical software and data analysis can earn higher salaries, especially in competitive markets or specialized sectors.

What jobs use applied statistics?

Applied statisticians work in various fields such as healthcare, finance, marketing, government, and technology, applying statistical methods to solve real-world problems. They often analyze data, develop models, and use tools like R, SAS, or Python to inform decision-making and policy. These roles typically require strong analytical skills and knowledge of statistical software and techniques.

What are popular job titles related to Applied Statistician jobs in Iowa?

For Applied Statistician jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Applied Statistician jobs in Iowa look for?

The top searched job categories for Applied Statistician jobs in Iowa are:

What are popular job titles related to Applied Statistician jobs in IA?

For Applied Statistician jobs in IA, the most frequently searched job titles are:

Infographic showing various Applied Statistician job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $78,576 per year, or $37.8 per hour.

Open Rank Tenure-Track Faculty in Educational Measurement and Statistics

The Chronicle Of Higher Education, Inc.

Iowa City, IA โ€ข On-site

$90 - $150/hr

Other

Posted 19 days ago


Job description

Position

The Department of Psychological and Quantitative Foundations at The University of Iowa invite applications for an academic-year tenure-track faculty position at the rank of assistant, associate, or full professor in Educational Measurement and Statistics.

Description

We seek an individual with outstanding applied or theoretical research in the field of statistics and education who has broad interests and evidence of significant potential as well as current contributions in research, teaching and professional service. The specific areas of interest in statistics are open, but we are especially interested in candidates with demonstrated skill in the foundations of statistical methods as well as advanced topics in areas such as statistical learning, computational methods and related applications.

Education Requirement

Prospective candidates must have an earned doctorate with specialization in educational measurement and statistics or a closely related field.

Required Qualifications
  • (1) demonstrated evidence of research potential in statistical methods and applications.
  • (2) evidence of scholarly productivity.
Desirable Qualifications
  • (1) evidence of effective teaching or strong teaching potential.
  • (2) experience in funded research settings or other professional activity in applied statistics or psychometrics.
  • (3) potential to secure and maintain funds for research, training, and program development.
  • (4) experience collaborating with and teaching a wide range of stakeholders, including practitioners and researchers representing varied theoretical, methodological, and substantive perspectives.
Responsibilities

The successful applicant will join the faculty in the Educational Measurement and Statistics program in the College of Education at the University of Iowa and will be involved in teaching, research and service commensurate with rank. In addition, we seek candidates interested in program development at both graduate and undergraduate levels, in sponsored research, and in professional activity at state and national levels.

Salary

Highly competitive and commensurate with qualifications and experience. Excellent start-up package, benefits, and research support.

Appointment

Academic year (9 month) tenure-track appointment beginning no later than August 2027.

Applications

To apply candidates should submit a letter of interest addressing all qualifications noted above, curriculum vitae, teaching evaluations (if prior teaching experience), two samples of scholarly writing, and contact information for three references.

To apply for the position, go to our website at https://jobs.uiowa.edu/ and search for requisition number 75940.

Screening

A review of applications will begin in August 2026 and continue until interviews begin in Fall 2026.

Inquiries

Direct general questions about the position to Dr. Ariel Aloe, Search Committee Chair (ariel-aloe@uiowa.edu), and questions about the application procedure to Rachel Wallace (rachel-wallace@uiowa.edu), Faculty Affairs Manager.

Additional Information

Successful candidates will be required to disclose any misconduct history or pending research misconduct investigation including but not limited to sexual misconduct in prior employment and provide a related release and will be subject to a criminal background and credential check.

Persons with disabilities who need assistance or accommodations with the application or interview process may contact University Human Resources/Faculty and Staff Disability Services at (319) 335-2660 or fsds@uiowa.edu.

If your H-1B petition is subject to the September 19, 2025, Presidential Proclamation, please note that the department will NOT cover the $100,000 payment associated with H-1B sponsorship, either at the time of hire or for international travel purposes. We encourage you to explore alternative pathways for work authorization. Our team is available to help identify options that may be suitable for your situation.

The University of Iowa is an equal opportunity employer. All qualified applicants are encouraged to apply and will receive consideration for employment free from discrimination on the basis of race, creed, color, religion, national origin, age, sex, pregnancy (including childbirth and related conditions), disability, genetic information, status as a U.S. veteran, service in the U.S. military, sexual orientation, or associational preferences.

Why Join Us?

At the University of Iowa, youโ€™ll thrive in a collaborative, welcoming, and intellectually rich environment. As a Big Ten, R1 institution, we offer the resources of a major university with the personal connections of a close-knit academic community. Our faculty are supported at every stage of their careers through mentorship, professional development, and leadership opportunities. Located in Iowa City, one of the most livable cities in America, youโ€™ll enjoy a vibrant cultural scene, top-rated schools, and a welcoming community that values creativity, innovation, and work-life integration. Learn more about this community and resources at WorkLife at Iowa.

About the College

Recognized as the state of Iowa's top College of Education, we offer more than 80 undergraduate and graduate degree programs, including licensure, endorsement, and certificate programs, many of which are regularly ranked among the best in the nation. Students study with our world-renowned faculty who are the leaders in their fields. Our college is comprised of four departments: Educational Policy and Leadership Studies, Psychological and Quantitative Foundations, Counselor Education, and Teaching and Learning. The College houses several Centers that support work in critical areas of education, including UI REACH, Iowa Reading Research Center, Scanlan Center for School Mental Health, and the Belin-Blank Center for Gifted Education and Talent Development. The College is guided by a Strategic Plan which defines our mission and the vision and values that bolster it.

About the Department

The Educational Measurement and Statistics program at The University of Iowa is a world-famous masters and doctoral program with ties to the internationally-renowned Iowa Testing Programs, as well as industry giants โ€“ such as ACT and Pearson โ€“ that are located in Iowa City. Both ACT and Pearson owe their beginnings to the collegeโ€™s testing pioneer, E.F. Lindquist, and the brilliant history related to his research. The program trains students in educational measurement, applied statistics, and data science in social and education sciences to produce scholars who obtain employment in a wide range of industries, from ACT and Pearson to Gallup and Amazon, in addition to positions in postsecondary education. Students, staff, and faculty benefit from a community of assessment professionals in the local area and opportunities for interdisciplinary research, among other valuable assets.

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