1

Data Science Jobs in Sun Prairie, WI (NOW HIRING)

This growth is centered within the newly formed School of Computer, Data & Information Sciences (CDIS), which officially opened its state-of-the-art new building in August 2025 ( The department is ...

This position will work with CHDR scientists and Data Operations peers to optimize current processes related to a relational database used for scholarly research. The Research Data Engineer will join ...

New

ACT Science Tutor

Madison, WI ยท Remote

$18 - $40/hr

Advanced Scientific Reasoning Mastery: Deep knowledge of data representation (graphs, tables ... Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ...

Middle School Science Tutor

Madison, WI ยท Remote

$18 - $40/hr

Skilled at breaking down the scientific method, experimental variable identification, and basic data analysis for middle school learners. Guides students through designing controlled experiments ...

Earth Science Tutor

Madison, WI ยท Remote

$18 - $40/hr

Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping tools to support middle and high school students building scientific literacy. * Effective Teaching ...

... data, and evaluating sustainability proposals. Emphasizes systems thinking and connects ... Familiar with AP Environmental Science curriculum across nine units and common challenges such as ...

Showing results 41-60

Data Science information

See Sun Prairie, WI salary details

$36.5K

$119.4K

$191.2K

How much do data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data science in Sun Prairie, WI is $119,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,300.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are popular job titles related to Data Science jobs in Sun Prairie, WI? For Data Science jobs in Sun Prairie, WI, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Sun Prairie, WI look for? The top searched job categories for Data Science jobs in Sun Prairie, WI are:
What cities near Sun Prairie, WI are hiring for Data Science jobs? Cities near Sun Prairie, WI with the most Data Science job openings:
Infographic showing various Data Science job openings in Sun Prairie, WI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, 4% Hybrid, and 16% Remote job distribution, with an average salary of $119,417 per year, or $57.4 per hour.

Professor of Statistics (RISE-AI)

Wisconsin

Madison, WI โ€ข On-site

Full-time

Re-posted 10 days ago


Job description

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.Job Category:FacultyEmployment Type:RegularJob Profile:ProfessorJob Summary:

The highly ranked Department of Statistics is seeking excellent candidates for a tenured faculty position in the area of statistics. In this position, the incumbent is expected to engage in research related to scientific problems with substantial importance in science and/or society.

The successful candidate will advance the educational mission of the College of Letters & Science that values, prioritizes, and actualizes evidence-based and student-centered teaching and (undergraduate student) mentoring. They will contribute to a fair environment that fosters engagement and a sense of belonging for faculty, staff, students and members of the broader community.

Successful applicants will teach undergraduate and graduate statistics courses, mentor students, conduct scholarly research, publish results in academic journals in statistics, data science, and closely related fields and present them at national and international meetings, and participate in professional and university service and outreach.

Successful applicants will participate in interdisciplinary and collaborative efforts with other departments, schools and colleges.

This position is part of the Wisconsin Research, Innovation and Scholarly Excellence (RISE) Initiative. Through accelerated and strategic faculty hiring, research infrastructure enhancement, interdisciplinary collaboration, and increased student and educational opportunities, RISE addresses complex societal challenges of importance to the state, nation and world. Building on UW-Madison's strengths, RISE expands the University's successful track record of connecting with communities and industry on collaborative solutions.

Candidates hired through RISE will join a community of scholars working across disciplines, schools and colleges on research, teaching and outreach endeavors. The community will engage regularly in venues such as seminar series and colloquia to share ongoing projects and identify opportunities to work together. The University will support the community, facilitating access to research infrastructure, and funding to support broad and rich collaboration.

Further information regarding RISE can be found at: https://rise.wisc.edu/

The University of Wisconsin-Madison ranks among the top universities in the country in research expenditures and provides excellent support for faculty seeking external funding. Internal research support is available from funds provided by the Wisconsin Alumni Research Foundation.

The Department of Statistics is experiencing rapid expansion as part of the university's substantial investment in data science. This growth is centered within the newly formed School of Computer, Data & Information Sciences (CDIS), which officially opened its state-of-the-art new building in August 2025 (https://cdis.wisc.edu/building/). The department is also home to the Data Science major, which is the university's fastest-growing program (learn more about CDIS here: https://cdis.wisc.edu/).

Our field and our department are growing rapidly, fueling our excitement for the future of our discipline. The Department has 36 regular faculty members, over 100 PhD students, over 100 MS students, and around 1800 undergraduate majors in statistics and data science. Some faculty members have joint appointments in other departments. The Department is well known for its strong interplay between statistical theory, methodology, and practice.

Madison is the state's capitol city and is well known for offering a small town feel in a medium sized city. It is a great place to raise a family and offers an ideal combination of natural beauty, stimulating cultural events, outstanding schools and outdoor recreation.

In the College of Letters & Science, we provide a liberal arts education that is both broad and deep through excellent, empathic teaching. We hire faculty who are interested in pursuing difficult questions, making new discoveries, and making an impact in their field. We reward excellent teaching and classroom innovation, and we are committed to shared governance. Learn more about the L&S mission on our webpage: https://ls.wisc.edu/about/mission.

Key Job Responsibilities:

Successful applicants will teach undergraduate and graduate statistics courses, mentor students, conduct scholarly research, publish results in academic journals in statistics, data science, and closely related fields and present them at national and international meetings; and participate in professional and university service and outreach.

Department:

College of Letters and Science, Department of Statistics

Compensation:

Negotiable - 9 months / ongoing / renewable

Required Qualifications:

Demonstrated excellence or demonstrated potential for excellence in statistical research, very broadly defined. Interest and ability to teach at the undergraduate and graduate levels. Ability to interact with an interdisciplinary and collaborative intellectual community. The successful candidate will demonstrate experience with fostering teaching, learning, departmental, and a research environment where all can thrive.

Education:

PhD in Statistics or similar by appointment start date

How to Apply:

Apply online at "Jobs at UW" (http://jobs.wisc.edu) under Job Requisition JR10005191. Applications must be received through UW- Madison's online application system. Applications submitted outside of this system will not be considered. Click the "Apply Now" button to start the application process. The application should include the following 4 documents:

1) a letter of application, which should address the applicant's suitability for the RISE-AI initiative and research experience related to scientific problems with substantial importance in science and/or society,

2) a detailed resume/CV and a copy of university transcripts,

3) a teaching and mentoring statement,

4) a research statement that includes a summary of dissertation and publications.

Applicants who move forward in the process will receive an email requesting the names and contact information for three references; each reference will receive an electronic link through which they can upload a signed letter of reference. At least one of the letters should address the applicant's effectiveness as a teacher.

For full consideration, all materials must be received no later than 11:59pm on December 8,2025. Applications will be accepted until position is filled. Please note that applicants will be evaluated based upon submitted application materials and therefore should speak to and include evidence of their qualifications.

Application materials must clearly demonstrate the applicant's dedication to excellence in student-centered teaching and mentoring. Additionally, materials should showcase the applicant's ability to purposefully plan their teaching practices, evidenced through goals, action plans, reflection, and related documentation. This portion of the application materials must be created by the applicant and may include supporting letters. It cannot be only in the form of letters and testimony by others.

Contact Information:

Matthias Katzfuss

Phone: 608-263-8531

Email: mkatzfuss@wisc.edu

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

The University of Wisconsin-Madison is an Equal OpportunityEmployer.

Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgroundsand encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.

To request a disability or pregnancy-related accommodationfor any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR)in the division you are applying to.Please make your request as soon as possible to help the university respond most effectively to you.

Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.