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

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 ...

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 ...

Senior Scientist - Applications

Madison, WI ยท On-site

$90 - $130/hr

... life science research. The role emphasizes complex inโ€‘vitro models and novel approach ... Generate and present highโ€‘quality data and visual content to support sales enablement and product ...

New

Research Specialist

Madison, WI ยท On-site

$45K/yr

Collects data and monitors test results * Participates in the development, interpretation, and ... Experience in a biological sciences research laboratory in a staff or student capacity.

Successful applicants will teach undergraduate and graduate statistics courses, mentor students, conduct scholarly research, publish results in academic journals in statistics, data science, and ...

Research Specialist

Madison, WI ยท On-site

$48K/yr

Experience operating, troubleshooting, and calibrating scientific instrumentation in a research setting * Experience using R programming software for data management, sample calibration, and ...

Showing results 41-60

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 Aug 20, 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.

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.

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 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 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.

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, and tools such as machine learning algorithms and statistical methods. Their work typically involves experimentation, data cleaning, and collaboration with other teams to solve complex problems.
Infographic showing various Data Science Research job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $123,675 per year, or $59.5 per hour.

Research Scientist

Realta Fusion, Inc.

Madison, WI โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Job description

Join Realta Fusion and help shape the future of fusion energy through advanced theory and computation. As a Research Scientist, you'll bridge simulation and experiment to drive groundbreaking progress on our next-generation magnetic mirror devices.
Realta Fusion is a rapidly growing start-up developing compact magnetic mirror fusion energy systems to address the biggest challenge of our time -tackling global climate change while ensuring a sufficient energy supply for at least ten billion people on (and off) earth. We are building a team with diverse talents dedicated to making fusion energy a real solution to humanity's most pressing problem.
This Scientist will contribute to several theoretical and computational projects to advance the physics basis for the high-field axisymmetric magnetic mirror. This work will include validation of computational models with experimental data from the currently operating Wisconsin HTS Axisymmetric Mirror (WHAM) at the University of Wisconsin-Madison, proposing new experimental campaigns and plasma diagnostics to be fielded on WHAM to aid in validation efforts, and using computational modelling to guide the design of future axisymmetric mirror device at Realta Fusion called Hammir. This role will include participating in collaborations with external research groups at both national laboratories and universities, publishing work in peer-reviewed journals and disseminating results at conferences.
Responsibilities
1. Lead and participate in theoretical and computational projects to advance the physics basis for the axisymmetric mirror, with a focus on model validation.
2. Bridge experimental data analysis and modelling results for the purposes of high-fidelity model validation and uncertainty quantification.
3. Employ state-of-the-art computational models to understand and explain experimental observations & trends.
4. Conduct literature reviews, prepare reports and materials and disseminate information to appropriate entities.
5. Identify, write, or assist in developing grant opportunities, grant applications, proposals and other materials to secure funding in a startup-environment.
6. Publish and present results to advance research and ensure credibility for our work in the field of plasma physics & fusion energy.
7. Serve as an institutional subject matter expert and liaison with key internal and external stakeholders providing expert level information and representing the interests of a specialized research area.
8. Culture and Values: Foster a positive and inclusive work environment that aligns with the company's mission, values, and sustainability goals, promoting innovation, collaboration, and employee engagement.
Required Qualifications
1. Education: PhD in Plasma Physics, or a related field + minimum of 3 years' experience in theoretical and computational plasma physics research.
2. Experience with computational model validation and uncertainty quantification.
3. Strong familiarity with experimental plasma diagnostics (e.g. bolometers, electrostatic ion energy analyzers, interferometers, magnetic measurements) and analysis techniques.
4. Understanding of magnetically confined fusion plasma heating and technologies, such as bias-induced rotation, electron cyclotron heating, neutral beam injection, and RF heating.
5. Collaboration: Exceptional interpersonal and communication skills (written and verbal) to collaborate effectively with colleagues, external partners, and stakeholders.
6. Demonstration of innovation capacity through IP generated and/or publications in the field.
Compensation & Benefits
What we are working on is hard... and hugely important. Realta Fusion is assembling a talented team bound together by a passion to solve humanity's biggest challenge with first-of-a-kind technology.
Additionally, Realta offers:
  • Competitive compensation package, including equity stock options
  • Comprehensive benefits including health, dental, and vision insurance, plus a 401(k)
  • Flexible paid time off (PTO) to support work-life balance
  • Work and live in Madison, Wisconsin - one of America's most livable and vibrant cities

We value diversity as a critical factor in innovation and believe a diverse team is necessary to solve the toughest problems. We aim to create an inclusive environment that unleashes the full creativity of our team members from a wide variety of backgrounds and experiences. We provide equal employment opportunities to all individuals based on merit and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected status under applicable laws.