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

You will work on a skilled team of passionate data scientists and meteorologists. Examples of projects you may encounter would be anything from predicting the electricity output of a solar park in ...

You will work on a skilled team of passionate data scientists and meteorologists. Examples of projects you may encounter would be anything from predicting the electricity output of a solar park in ...

Implements data analysis steps in collaboration with data scientists, statisticians, and/or other researchers and may use technologies that support data at scale * Prepares data sets for current and ...

New

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... Engineering; or High School Diploma/General Education Degree and 4 years of relevant experience as ...

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... Engineering; or High School Diploma/General Education Degree and 4 years of relevant experience as ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... Engineering; or High School Diploma/General Education Degree and 4 years of relevant experience as ...

This is balanced with a vision to help organizations evolve into a focused, fast, flexible and fun data science community that engages employees at all levels of an organization. As one of our Data ...

Showing results 21-40

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.

Data Governance Program Manager

University of Wisconsin-Madison

Madison, WI • On-site

Full-time

Retirement, PTO

Posted 17 days ago


University Of Wisconsin-Madison rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

122nd of 616 rated colleges and universities


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: Academic Staff
Employment Type: Regular
Job Profile: Data Scientist III
Job Summary:
We are seeking an experienced Data Governance Program Manager to support investigators by advancing the discoverability, accessibility, integration, stewardship, and responsible sharing of biomedical research data across the School of Medicine and Public Health (SMPH). As a member of the Office of Informatics, the successful candidate will lead institutional efforts to establish and operationalize data governance strategies that enhance the value, quality, interoperability, and reuse of research data assets spanning clinical, translational, population health, genomic, imaging, and other biomedical domains.
The ideal candidate will work closely with investigators, data custodians, informatics teams, and other institutional partners to develop scalable approaches for research governance including data linkage, metadata management, data quality assessment, and data sharing. This role will be instrumental in building a sustainable data ecosystem that supports high-quality biomedical research, interdisciplinary collaboration, and data-driven discovery.
Key Responsibilities:
  • Lead the development and implementation of a comprehensive biomedical research data governance program across SMPH, including best practices for research data stewardship and lifecycle management.
  • Partner with investigators to develop and implement data management and sharing plans for grant applications, ensuring alignment with funding agency requirements and FAIR (Findable, Accessible, Interoperable, and Reusable) data principles.
  • Facilitate the discoverability, documentation, and dissemination of research datasets, including support for assigning persistent identifiers (e.g., DOIs), developing metadata standards, and depositing datasets into institutional and national repositories.
  • Establish and oversee data quality, data curation, and data stewardship frameworks that promote the accuracy, consistency, completeness, and usability of research data assets.
  • Lead the design and implementation of data integration, linkage and secure release methodologies spanning structured, semi-structured, textual, imaging, and other heterogeneous biomedical data sources.
  • Develop processes, standards, and tools that improve interoperability and enable the secure integration of research, clinical, public health, and other data domains to support advanced research initiatives while protecting privacy of patients and participants in research studies.
  • Guide the development and use of de-identified, limited, and synthetic datasets that support research access while maintaining appropriate safeguards for PHI and compliance with institutional policies.
  • Develop and implement methodologies for creating research-ready data products that enable reproducible, secure, scalable, and efficient research workflows.
  • Conduct and oversee data quality assessments, validation activities, and data fitness-for-use evaluations to ensure that research datasets meet established governance and scientific standards.
  • Serve as a subject matter expert in biomedical data governance, advising investigators, departmental leaders, and research teams on data stewardship, data sharing, metadata standards, and responsible data use.
  • Develop and deliver training, educational resources, and consultation services that promote best practices in research data management and governance across SMPH.
  • Monitor emerging trends, technologies, and policies related to biomedical data governance, FAIR data practices, research data ecosystems, interoperability standards, and advanced data management methodologies.
  • Directly and indirectly supervise staff supporting research data operations, data stewardship programs, data curation activities, and institutional data governance initiatives across SMPH.

It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location.
Key Job Responsibilities:
  • Organizes and automates project steps for data preparation and analysis
  • Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows
  • Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
  • Serves as an institutional subject matter expert and liaison to key internal and external stakeholders regarding data science best practices and methodologies and represents the interests of data science
  • Identifies and implements or guides others in implementing appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
  • May supervise the data-to-day activities of staff and resolves routine personnel issues
  • Contributes to education and training initiatives
  • Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators

Department:
School of Medicine and Public Health, Office of Informatics, Data Governance.
The UW School of Medicine and Public Health (SMPH) is a leader in research and innovation, dedicated to improving patient outcomes through advanced data science and analytics.
This position is within the School of Medicine and Public Health's Office of Informatics. SMPH Informatics is a multidisciplinary team of data scientists, engineers, developers and support staff. We offer a variety of Informatics to departments and research staff within the School of Medicine and Public Health and beyond to support the conduct of high-quality clinical and translational research. In this capacity, provide innovative solutions and training for a broad spectrum of clinical and translational research utilizing real-world data to facilitate rapid translation of research findings into clinical practice, with an emphasis on precision medicine, healthcare delivery, and population health.
Compensation:
The starting salary for the position is $120,000 but is negotiable based on experience and qualifications.
Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage and the SMPH Academic Staff Benefits Flyer
Required Qualifications:
- Demonstrable experience with at least three of the following competencies:
  • Research data governance and stewardship frameworks
  • FAIR data principles and metadata standards
  • Data integration and entity resolution/data linkage
  • Research data repositories and data sharing infrastructures
  • Synthetic data generation and research-ready data products
  • Data quality assessment and data curation

- Proven experience working on a large, grant-funded project that involves data exchange and sharing.
Preferred Qualifications:
  • Familiarity with programming languages such as Python or R, or similar.
  • Familiarity with: Biomedical and clinical research data management, Multimodal data environments including clinical, genomic, imaging, and unstructured data, and Research informatics and translational science ecosystems
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Experience carrying out research using clinical science or data science with electronic health records

Education:
PhD preferred; focus in computer science, data science, public health, bioethics or related discipline preferred.
How to Apply:
For the best experience completing your application, we recommend using Chrome or Firefox as your web browser.
To apply for this position, select either "I am a current employee" or "I am not a current employee" under Apply Now. You will then be prompted to upload your application materials.
Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area. Failure to submit the required documents will result in no longer being considered for the position.
• Cover letter (required)
• Resume (required)
Your cover letter should address how your training and experience aligns with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected
University sponsorship is not available for this position, including transfers of sponsorship and TN visas.The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment.This position is an ongoing position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work.
Contact Information:
Cody Roekle, croekle@wisc.edu608-263-7676
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information
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.

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About University of Wisconsin

Sourced by ZipRecruiter

The University of Wisconsin, based in Madison, WI, US, functions in the educational industry and is a renowned and respected institution for higher education. Its official website is wisc.edu. Established in 1848, this public research university is recognized globally for its innovative approach to education, research, creativity, and public service. It embodies a strong commitment to academic freedom and academic excellence. As a major contributor to the Wisconsin Idea, it aims to accomplish its mission of generating well-rounded individuals who will contribute substantially to society, the local community, and the global economy.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Madison, WI, US

Year founded

2005