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Data Science Major Jobs in Wisconsin (NOW HIRING)

US Department of Commerce

Data Scientist

Madison, WI · On-site

$106K/yr

Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is ...

US Department of Commerce

Meteorologist

Sullivan, WI

$40K/yr

Degree in Meteorology, Atmospheric Science, or another natural science major that includes: * At ... Using current hydro-meteorological data to monitor conditions and assist with forecast preparation ...

US Department of Commerce

Meteorologist

La Crosse, WI · On-site

$40K/yr

Degree in Meteorology, Atmospheric Science, or another natural science major that includes: * At ... Using current hydro-meteorological data to monitor conditions and assist with forecast preparation ...

Scientific Research Corporation

WI · On-site

$120 - $170/hr

Leading major program and/or design reviews and major proposal activities * Performing extensive ... Physical Science * Active Secret clearance with ability to obtain TS/SCI * Ability to construct ...

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US Department of Commerce

Meteorologist

Green Bay, WI · On-site

$40K/yr

Degree in Meteorology, Atmospheric Science, or another natural science major that includes: * At ... Using current hydro-meteorological data to monitor conditions and assist with forecast preparation ...

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All JobsData Science Major JobsData Science Major Jobs in Wisconsin

Data Science Major information

What is a data science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What types of projects or problems do data science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

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

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

What is the difference between Data Science Major vs Data Analyst?

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What jobs can I do with a data science major?

A data science major can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, or data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau, often with a focus on interpreting large datasets to support decision-making.

What kind of jobs can I get with a data science major?

A data science major can lead to roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

What are popular job titles related to Data Science Major jobs in Wisconsin?

For Data Science Major jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Science Major jobs in Wisconsin look for?

The top searched job categories for Data Science Major jobs in Wisconsin are:

Data Science Major jobs near you
Infographic showing various Data Science Major job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Assistant Professor, Data Science and Statistics

Lawrence University Department of Theatre Arts

Appleton, WI • On-site

$85 - $110/hr

Other

Posted 8 days ago

Job description

Assistant Professor, Data Science and Statistics

Position Title Assistant Professor, Data Science and Statistics


Location


Location Appleton


Department


Department Mathematics & Computer Science


Position Type


Position Type Faculty


Anticipated Number of Hours per Week


40


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 .


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.


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 ).


Supplemental Questions

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Lawrence University


711 East Boldt Way


Appleton, WI 54911

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