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Machine Learning Researcher Jobs in Madison, WI (NOW HIRING)

Data Scientist II

Madison, WI ยท On-site +1

$80K/yr

... 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 ...

... and researchers access to the data they need to take care of their patients and improve health ... Our team of data scientists, machine learning engineers, revenue cycle professionals, and certified ...

... machine learning models, and translational research in acquired brain injury and cardiopulmonary physiology. Division members are nationally recognized experts in research and program development and ...

Conduct user research to identify user workflow needs. * Create wireframes, prototypes, and high ... Using AI and machine learning, our software analyzes billions of data points collected from sensors ...

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Conduct user research to identify user workflow needs. * Create wireframes, prototypes, and high ... Using AI and machine learning, our software analyzes billions of data points collected from sensors ...

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Machine Learning Researcher information

See Madison, WI salary details

$30.2K

$114K

$165.8K

How much do machine learning researcher jobs pay per year?

As of Jul 15, 2026, the average yearly pay for machine learning researcher in Madison, WI is $113,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $155,200.00 per year, depending on experience, location, and employer.

What are some common challenges Machine Learning Researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

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

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

What is the difference between Machine Learning Researcher vs Data Scientist?

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

What does a Machine Learning Researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.
What are the most commonly searched types of Machine Learning Researcher jobs in Madison, WI? The most popular types of Machine Learning Researcher jobs in Madison, WI are:
What are popular job titles related to Machine Learning Researcher jobs in Madison, WI? For Machine Learning Researcher jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Machine Learning Researcher jobs in Madison, WI look for? The top searched job categories for Machine Learning Researcher jobs in Madison, WI are:
Infographic showing various Machine Learning Researcher job openings in Madison, WI as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $113,965 per year, or $54.8 per hour.

Data Scientist II

Wisconsin

Madison, WI โ€ข On-site, Remote

$80K/yr

Full-time

Retirement, PTO

Posted 11 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: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.