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Data Science Research Assistant Jobs in Wisconsin

Research Assistant

Downing, WI · On-site

$21 - $31/hr

The candidate should be well-informed about the scientific method, human subjects research, and data analysis using computational and statistical techniques. The Research Assistant will assist in ...

Research Assistant III

Madison, WI · On-site

$19.50 - $26.75/hr

A Research Assistant III is responsible for work in support of the collection, documentation, and ... Data management process oversight. Minimum Qualifications * Bachelor's degree in a Life Science ...

Learns applicable anatomic terms and the use of scientific language * Learns to perform various ... Utilizes computer programs (forms and procedure generation) and systems (data capture)

Learns applicable anatomic terms and the use of scientific language * Learns to perform various ... Utilizes computer programs (forms and procedure generation) and systems (data capture)

Research Assistant

West Salem, WI · On-site

$18.75 - $26/hr

Research Assistant Location: West Salem, WI Come grow with DLF! At DLF, we're passionate about ... Data Management: Assist in collecting, recording, and managing trial data accurately and ...

Research Assistant

West Salem, WI

$18.75 - $26/hr

Research Assistant Location: West Salem, WI Come grow with DLF! At DLF, we're passionate about ... Data Management: Assist in collecting, recording, and managing trial data accurately and ...

Research Assistant Job Category: Student Hourly Job Profile: Student Help Job Summary: Conduct pulp ... Record worklogs and conduct limited data analysis. Required Qualifications: 1. Paper Science and/or ...

... science engineering or chemical engineering major. Key Job Responsibilities: Special Notes: Through the discovery and dissemination of knowledge, UW-Stevens Point stimulates intellectual growth ...

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Data Science Research Assistant information

See Wisconsin salary details

$8

$22

$32

How much do data science research assistant jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for data science research assistant in Wisconsin is $22.11, according to ZipRecruiter salary data. Most workers in this role earn between $18.70 and $25.72 per hour, depending on experience, location, and employer.

Is 30 too late for data science?

Data science research assistants can enter the field at any age, including 30, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated competence and ongoing development in the field.

What does a Data Science Research Assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

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

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

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

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

Is AI replacing data scientists?

AI is transforming the role of data science research assistants by automating routine tasks like data cleaning and analysis, but it does not replace the need for human expertise in designing models, interpreting results, and making strategic decisions. Data scientists and research assistants with skills in programming, statistical analysis, and machine learning remain essential for developing and deploying AI solutions effectively. AI tools serve as complements that enhance productivity rather than substitutes for skilled data professionals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science research assistant; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be developed through online courses, certifications, and practical experience regardless of age.

How do Data Science Research Assistants typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.

What is a data research assistant?

A data research assistant is a professional who supports data collection, analysis, and interpretation for research projects. They often work with statistical tools and programming languages like Python or R and may assist in preparing reports or visualizations under the guidance of senior researchers.
What are popular job titles related to Data Science Research Assistant jobs in Wisconsin? For Data Science Research Assistant jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Data Science Research Assistant jobs? Cities in Wisconsin with the most Data Science Research Assistant job openings:
Infographic showing various Data Science Research Assistant job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $45,997 per year, or $22.1 per hour.
Research Assistant

Research Assistant

Howard

Downing, WI • On-site

$21 - $31/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.

At Howard University, we prioritize well-being and professional growth.

Here is what we offer:

  • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
  • Work-Life Balance: PTO, paid holidays, flexible work arrangements
  • Financial Wellness: Competitive salary, 403(b) with company match
  • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
  • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!

https://hr.howard.edu/benefits-wellness

JOB PURPOSE:

Research Assistant will assist with user testing and user centered design of biometric technologies necessary for creating audio captcha technology. The candidate should be well-informed about the scientific method, human subjects research, and data analysis using computational and statistical techniques. The Research Assistant will assist in preparation of briefs to the sponsor and engage in regular meeting updates to the sponsor on project deliverables.

SUPERVISORY AUTHORITY:

Research Assistant will supervise and work alongside the undergraduate students. Research Assistant will contribute towards monthly reports, quarterly reports and scientific publications.

NATURE AND SCOPE:

Internal contacts include RITA HQ Team and the entire Howard University community. External contacts include as directed.

PRINCIPAL ACCOUNTABILITIES:

Assist with AI research initiatives from conception to implementation.

Analyze research data critically, translating findings into actionable insights.

Collaborate across disciplines, integrating diverse expertise into your work.

Disseminate knowledge through scholarly papers and compelling presentations to stakeholders.

Design and validate NLP techniques, contributing to the broader field with innovative solutions.

Engage in developing and evaluating human-machine interfaces and systems integration, enhancing human performance through technology.

CORE COMPETENCIES:

Mastery of programming languages (Python, Java, C++, C, R) and command-line scripting.

Expertise in ML frameworks (scikit-learn, TensorFlow, PyTorch) and data processing (JSON, XML).

Exceptional communication and collaborative skills.

MINIMUM REQUIREMENTS:

Bachelor of Science in Computer Science, Computer Engineering, Information Systems,5+ years in machine learning and data science; advanced degrees may offset experience requirements

Compliance Salary Range Disclosure

$21.00-$31.00