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Part Time Data Science Jobs in Milwaukee, WI (NOW HIRING)

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Part Time Data Science information

See Milwaukee, WI salary details

$9

$45

$109

How much do part time data science jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for part time data science in Milwaukee, WI is $45.79, according to ZipRecruiter salary data. Most workers in this role earn between $15.01 and $68.02 per hour, depending on experience, location, and employer.

What are part-time data science jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

What are the key skills and qualifications needed to thrive as a part-time data scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.
What are the most commonly searched types of Data Science jobs in Milwaukee, WI? The most popular types of Data Science jobs in Milwaukee, WI are:
What are popular job titles related to Part Time Data Science jobs in Milwaukee, WI? For Part Time Data Science jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Part Time Data Science jobs in Milwaukee, WI look for? The top searched job categories for Part Time Data Science jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Part Time Data Science jobs? Cities near Milwaukee, WI with the most Part Time Data Science job openings:
Infographic showing various Part Time Data Science job openings in Milwaukee, 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $95,240 per year, or $45.8 per hour.

Business and Technology Adjunct Opportunities

Universities of Wisconsin

Kenosha, WI • On-site

Part-time

Re-posted 15 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.
Position Title:
Business and Technology Adjunct Opportunities
Job Category:
Academic Staff
Employment Type:
Terminal (Fixed Term)
Job Profile:
Adjunct Instructor
Job Duties:
The University of Wisconsin-Parkside's Business and Technology Departments invite applications for temporary/part-time adjunct instructors to teach on an as-needed basis.
This is an open pool requisition. Qualified applicants may be selected from the pool to fill instructional needs as they arise. Hiring decisions are made based on departmental needs, course availability, and candidate qualifications.
Key Job Responsibilities:
Adjunct instructors may be assigned teaching responsibilities in one or more of the following areas, depending on departmental needs:
  • Accounting

  • Data Analytics

  • Finance

  • Supply Chain

  • Human Resources

  • Global Management

  • Management Information Systems

  • Quantitative Methods/Statistics

  • Computer Science

  • Cyber Security

  • Data Science

  • Economics

  • Marketing

  • Project Management

  • Sales

  • Web Development/Publishing

Required Qualifications:
  • Master's degree in the subject area, if teaching an undergraduate class and a terminal degree if teaching a Master's level course.
  • Applicants with certifications such as a CPA and/or are in an advanced degree program and also have extensive experience may be considered.

How to Apply:
To apply, click the Apply button at the top of this page. Please upload the following application materials with your application:
  • Cover Letter outlining your qualifications for the position and specifying the teaching area(s) you are applying to (e.g., Accounting, Data Analytics, Finance, Supply Chain, etc.)
  • Curriculum Vitae (Resume)

This is an open pool requisition. Qualified applicants may be selected from the pool to fill instructional needs as they arise. Hiring decisions are made based on departmental needs, course availability, and candidate qualifications.
Legal Notices and Important Information
Employment will require a criminal background check in accordance with the Wisconsin Fair Employment Act. It will also require you and your references to answer questions regarding sexual violence and sexual harassment. (see TC1 - App. 4 and p. 12)
Note: Criminal Background Check - The Department of Workforce Development, Equal Rights Division prohibits employers from using criminal background check information, policies or practices that have a "disparate impact" and is not "job-related and consistent with business necessity" in hiring decisions. All information used to screen or hire job applications should relate to the duties of the job.
Reasonable Accommodations
It is the policy of UW-Parkside to provide reasonable accommodation to qualified applicants with disabilities. If you need assistance or accommodation in applying because of a disability, please contact the Office of Human Resources at 262-595-2204. Employment opportunities will not be denied because of the need to provide reasonable accommodation for a qualified individual with a disability.
Parkside Crime Statistics Report
In compliance with the Clery Act of 1998, the University of Wisconsin Parkside Crime Statistics Report is available here. Call the UW-Parkside Campus Police Office at (262) 595-2455 for a paper copy of the annual report.
Transcript Requirement
Please note: Transcriptions will be required upon hire.
UW is an Equal Opportunity Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, status as a protected veteran, or any other bases protected by applicable federal or State law and UW System policies. We are committed to building a workforce that represents a variety of backgrounds, perspectives, and skills, and encourage all qualified individuals to apply.