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Statistics Major Jobs in Wisconsin (NOW HIRING)

The highly ranked Department of Statistics is seeking excellent candidates for a tenured faculty ... major, which is the university's fastest-growing program (learn more about CDIS here: Our field and ...

At All-Stat Portable , we've been a leader in mobile diagnostics since 1978. We don't just "sell" a ... a major plus). * Communication: Outstanding presentation and negotiation skills; you are ...

At All-Stat Portable , we've been a leader in mobile diagnostics since 1978. We don't just "sell" a ... a major plus). * Communication: Outstanding presentation and negotiation skills; you are ...

This person is responsible for all major productions covered by Pointer Studios. This includes ... Stat. sec. 19.36(7). An offer of employment will require a criminal background check and ...

WI · On-site

$80 - $120/hr

The investigator will provide data analysis and will play a major role in developing and ... Build and test statistical, optimization, and machine learning models, including regression ...

This person is responsible for all major productions covered by Pointer Studios. This includes ... Stat. sec. 19.36(7). An offer of employment will require a criminal background check and ...

Participates in the review of clinical research protocols, reports and statistical analysis plans. QUALIFICATIONS Education Education Level Major/Field of Study or Equivalent Associate's degree ( 13 ...

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Statistics Major information

See Wisconsin salary details

$40.9K

$84.4K

$118.1K

How much do statistics major jobs pay per year?

As of Aug 30, 2026, the average yearly pay for statistics major in Wisconsin is $84,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $117,100.00 per year, depending on experience, location, and employer.

What is a statistics major?

A Statistics major is an academic program that focuses on the study of collecting, analyzing, interpreting, and presenting data. Students learn mathematical theories, probability, and statistical methods to solve real-world problems in various fields such as business, healthcare, government, and research. The program typically includes coursework in mathematics, computer science, and specialized statistical techniques. Graduates are equipped with analytical skills that are highly valued in data-driven industries.

What are the key skills and qualifications needed to thrive as a statistics major, and why are they important?

To thrive as a Statistics Major, you need strong analytical skills, proficiency in mathematical reasoning, and a solid understanding of probability and statistical theory, typically supported by coursework in mathematics and statistics. Familiarity with statistical software such as R, SAS, SPSS, or Python and data visualization tools is essential. Critical thinking, attention to detail, and effective communication are important soft skills for interpreting results and presenting findings. These competencies enable accurate data analysis, informed decision-making, and clear communication of complex statistical concepts in academic or professional settings.

What types of projects or collaborations can a statistics major expect to work on during their first professional role?

As a Statistics Major entering the workforce, you can expect to work on projects involving data collection, cleaning, analysis, and interpretation within cross-functional teams. You may collaborate with professionals from fields such as data science, engineering, marketing, or finance to derive actionable insights from complex datasets. Early-career roles often involve supporting senior analysts with statistical modeling, preparing reports, and contributing to presentations for stakeholders. This collaborative environment helps you build both technical and communication skills, laying a strong foundation for career advancement.

What is the difference between Statistics Major vs Data Analyst?

AspectStatistics MajorData Analyst
Required CredentialsBachelor's degree in Statistics, Mathematics, or related fieldBachelor's degree in Statistics, Data Science, or related field; often requires proficiency in data tools
Work EnvironmentAcademic, research, or corporate settings involving data analysis and modelingBusiness, finance, healthcare, or tech companies analyzing data to inform decisions
Industry UsageUsed in academia, research institutions, and industries requiring statistical modelingCommon in industries focused on data-driven decision making and reporting

Statistics Major and Data Analyst roles share similar educational backgrounds and work environments. While a Statistics Major focuses on developing statistical theories and models, a Data Analyst applies these skills to interpret data and support business decisions. Both roles are essential in data-driven industries, with overlapping skills but different primary focuses.

What can you do with a statistics major?

A statistics major can pursue careers in data analysis, actuarial science, research, and data science, applying statistical methods to solve real-world problems. They often work with tools like R, Python, or SQL and may need certifications such as the ASA or CAP. These roles typically involve analyzing data sets, creating reports, and supporting decision-making processes across various industries.

What cities in Wisconsin are hiring for Statistics Major jobs?

Cities in Wisconsin with the most Statistics Major job openings:

Infographic showing various Statistics Major job openings in Wisconsin as of August 2026, with employment types broken down into 2% As Needed, 86% Full Time, 8% Part Time, and 4% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $84,439 per year, or $40.6 per hour.

Assistant Professor, Data Science and Statistics

Lawrence University

Appleton, WI

Full-time

Posted 3 days ago

New


Lawrence University rating

6.1

Company rating: 6.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

559th of 627 rated colleges and universities


Job description

Position Information
Position Title Assistant Professor, Data Science and Statistics Location Appleton Department Mathematics & Computer Science Position Type Faculty Position Description & Qualifications
Lawrence University of Wisconsin, a selective undergraduate liberal arts college and conservatory of music located in Appleton, Wisconsin invites applications for a tenure-track Assistant Professor of Data Science and Statistics to begin September 1, 2027.
We seek candidates who will contribute to our growing program, which includes a new Data Science and Statistics major. Candidates must have a Ph.D. in statistics, biostatistics, data science, or a closely related field prior to the time of appointment (9/1/2027); ABD is acceptable for selection. Candidates should demonstrate potential for teaching a variety of undergraduate statistics and data science courses, and expect to participate in Lawrence's flagship First Year Studies program on rotation. The First Year Studies curriculum presents an interdisciplinary introduction to the liberal arts intended to support new students' fundamental skills as readers, writers, and thinkers.
Primary duties include: teaching two undergraduate courses in each of Lawrence's three ten-week terms, grading, advising and mentoring students; conducting research; leading occasional tutorials, supervising independent study projects and internships; assisting in curricular planning; and related departmental and institutional service. The successful candidate will be the third statistics and data science faculty member in the Department of Mathematics, Statistics, and Computer Science. Additional information about our curriculum and faculty can be found at https://www.lawrence.edu/academics/college/data-science-and-statistics.
Candidates should submit the following: (1) a cover letter describing their interest in this position, (2) a curriculum vitae, (3) a statement of teaching explaining their pedagogical methods and teaching experiences, (4) a statement describing their scholarly activities, interests, and future plans, (5) names and email addresses for three references who can be contacted for letters of recommendation at a later stage in the process (at least one of whom can attest specifically to teaching).
In their teaching statement, candidates are encouraged to discuss their experiences and ideas for teaching courses involving data analysis and computational tools. Candidates should also discuss how they will foster an inclusive and supportive learning environment for all students. In their scholarship statement, candidates are encouraged to discuss their experiences or ideas for incorporating undergraduate students in their research.
Candidates are encouraged to read more about Lawrence at https://lawrence.peopleadmin.com as well as www.lawrence.edu and Colleges That Change Lives.
We will begin reviewing applications on October 2, 2026. For further information, please contact Andrew Sage, the chair of the search committee (sagea@lawrence.edu).
Posting Detail Information
Posting Number S642P Number of Vacancies 1 Posting Date Best Consideration Date Close Date Open Until Filled Special Instructions Summary Anticipated Number of Hours per Week 40

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