1

Data Science Research Jobs in Madison, WI (NOW HIRING)

Data Scientist II

Madison, WI ยท On-site +1

$80K/yr

Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical ...

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.

Research analysts will use a variety of advanced statistical methods common in the social sciences to analyze study data, including longitudinal survey data, administrative data, and direct child ...

You will work on a skilled team of passionate data scientists and meteorologists. Examples of ... Research, recommend, and implement statistical post process correction techniques using proprietary ...

You will work on a skilled team of passionate data scientists and meteorologists. Examples of ... Research, recommend, and implement statistical post process correction techniques using proprietary ...

The Enterprise Data Analyst is a firmwide shared-services role within the Firm's Data Science ... Engage in research and study to continuously improve the Firm's reporting and business intelligence ...

The Enterprise Data Analyst is a firmwide shared-services role within the Firm's Data Science ... Engage in research and study to continuously improve the Firm's reporting and business intelligence ...

As a Research Scientist, you'll bridge simulation and experiment to drive groundbreaking progress ... This work will include validation of computational models with experimental data from the currently ...

next page

Showing results 1-20

Data Science Research information

See Madison, WI salary details

$37.8K

$123.7K

$198K

How much do data science research jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data science research in Madison, WI is $123,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $137,000.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Data science research roles do not have strict age limits, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

How does a Data Science Researcher typically collaborate with other departments within an organization?

Data Science Researchers frequently work cross-functionally, collaborating with teams such as engineering, product management, and business analytics. They often translate complex research findings into actionable insights, guiding product development or business strategies. Regular meetings, joint project planning, and code reviews are common, ensuring that research outcomes align with organizational goals. Effective communication and teamwork are key to integrating advanced data solutions into real-world applications.

What do data science researchers do?

Data science researchers analyze large datasets to identify patterns, develop models, and generate insights that inform decision-making. They often use programming languages like Python or R, statistical methods, and machine learning techniques, working in research environments or industry settings to advance knowledge or solve complex problems.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Chief Data Officer, or Data Science Director, with salaries exceeding $150,000 annually. These roles typically require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities.

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

AspectData Science ResearchData Analyst
CredentialsTypically requires advanced degrees (Master's or PhD) in Data Science, Statistics, or related fieldsOften requires a Bachelor's or Master's degree in Data Analysis, Statistics, or related areas
Work EnvironmentResearch labs, academic institutions, or R&D departments within companiesBusiness environments, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutions, tech companies focusing on innovationRetail, finance, healthcare, and other industries focusing on data-driven decision making

Data Science Research focuses on developing new algorithms, models, and theories, often in academic or R&D settings. In contrast, Data Analysts primarily interpret existing data to generate reports and insights for business decisions. Both roles require strong analytical skills but differ in scope, goals, and work environment.

Is a Data Scientist in high demand?

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 remain strong in the coming years.

What are the key skills and qualifications needed to thrive as a Data Science Researcher, and why are they important?

To thrive as a Data Science Researcher, you need strong analytical skills, expertise in statistics and machine learning, and an advanced degree in a quantitative field such as computer science, mathematics, or engineering. Proficiency with programming languages like Python or R, data visualization tools, and experience using platforms such as TensorFlow or PyTorch is typically required. Curiosity, creativity, and clear communication are essential soft skills for designing research questions, interpreting results, and sharing findings with diverse audiences. These skills and qualities are crucial for driving innovative solutions and impactful insights in data-driven environments.

What is data science research?

Data science research involves using scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Researchers in this field work on developing new data analysis techniques, machine learning models, and data-driven solutions to solve complex problems. The work often includes designing experiments, analyzing large datasets, and publishing findings to advance the understanding of data science methodologies.
What are popular job titles related to Data Science Research jobs in Madison, WI? For Data Science Research jobs in Madison, WI, the most frequently searched job titles are:
Infographic showing various Data Science Research job openings in Madison, WI as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $123,675 per year, or $59.5 per hour.

Data Scientist II

Wisconsin

Madison, WI โ€ข On-site, Remote

$80K/yr

Full-time

Retirement, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


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 StaffEmployment Type:Terminal (Fixed Term)Job Profile:Data Scientist IIJob Summary:

The Office of Informatics is seeking an outstanding candidate for a Data Scientist II position to support research related data needs. The Data Scientist II will design, develop, and maintain data pipelines, data models, and analytical tools to support research and decision-making across multiple stakeholder groups. This role works collaboratively with researchers, analysts, and operational partners to transform complex data into accessible, actionable insights, including geospatial data and visualizations. The Data Engineer II will leverage Power BI, SQL, Python, and GIS tools to build scalable data solutions, create engaging dashboards and maps, and enable efficient data access for research and operational use cases.

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
  • Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
  • Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
  • Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows
  • Independently identifies and implements 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
Department:

School of Medicine and Public Health, Office of Informatics, Research Data Services.

Compensation:

The starting salary for the position is $80,000 annually; 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. SMPH Faculty /Academic Staff Benefits Flyer 2026

Required Qualifications:
  • Experience developing dashboards for multiple stakeholders
  • Experience writing complex SQL queries for data extraction and transformation
  • Experience using Python for data processing, scripting, or automation
  • Demonstrated ability to translate business needs into data visualizations
  • Strong analytical, problem-solving, and communication skills
Preferred Qualifications:
  • Professional experience developing Power BI or Tableau dashboards
  • Experience with data modeling concepts (star schema, dimensional modeling)
  • Familiarity with data warehousing platforms (e.g., Snowflake, Redshift, Azure Synapse)
  • Experience with Power BI Service, including publishing and governance
  • Knowledge of data governance, security, and best practices
  • Experience working in a collaborative or matrixed environment
  • Experience working with geographic information systems (GIS) and spatial data
  • Ability to design and create engaging, user-friendly maps and geospatial visualizations for research and operational use cases
Education:

Master's degree 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.
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 currently scheduled to endafter 12 monthsand will require eligibility to work until that time.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.