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Part Time Data Scientist Jobs in Wisconsin (NOW HIRING)

Nwtc

Part-Time Chemistry Instructors

Green Bay, WI

$45/hr

College of Science, Technology, Engineering & Math Reports To: Dean, Associate LOCATION: Green Bay ... data to ensure consistent quality instruction and assessment * Actively instructs and manages a ...

Certified Group

Part-Time Lab Analyst

Green Bay, WI · On-site

$20.50/hr

Certified Group is committed to partnering with customers to deliver innovative scientific ... 20svh)))]" data-turn-id="request-WEB:5caf57a4-bfbe-4957-8ec6-c7b4b55e8248-0" data-testid ...

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All JobsData Scientist JobsPart Time Data Scientist JobsPart Time Data Scientist Jobs in Wisconsin

Part Time Data Scientist information

See Wisconsin salary details

$37.9K

$123.9K

$198.3K

How much do part time data scientist jobs pay per year?

As of Jul 26, 2026, the average yearly pay for part time data scientist in Wisconsin is $123,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,300.00 per year, depending on experience, location, and employer.

What Does a Part-Time Data Scientist Do?

A part-time data scientist’s skills and responsibilities are very similar to those of a data analyst. Like a data analyst, you have to collect and review company or industry data and then perform an analysis based on a business question the company wants to answer. You share this information with other parts of the enterprise. Where data scientists’ duties are different is that you use past data to build machine learning models. These machine learning models make predictions, and the goal is to identify trends that lead to a more thorough understanding of the business and its customers.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to improve model performance efficiently.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience through projects or certifications. Employers value skills and experience over age, making it possible to start a data science career at 40 or older.

What is a part time data scientist?

A part time data scientist is a professional who applies statistical analysis, machine learning, and data processing skills to extract insights from data, but works fewer hours than a full-time employee—typically under 35 hours per week. Part time data scientists may work for one or more companies, often on flexible schedules or as contractors. Their responsibilities can include data cleaning, building predictive models, and presenting data-driven insights to help organizations make informed decisions. This role is ideal for those seeking work-life balance, students, or professionals looking to supplement their income.

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, proficiency in statistics, and experience with data modeling, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as knowledge of machine learning libraries, is often required. Excellent problem-solving, time management, and communication skills help you effectively deliver insights and collaborate despite reduced hours. These skills ensure you can provide high-impact, actionable analyses efficiently within a limited work schedule.

Is a data scientist job still in demand?

Data scientist jobs remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and the role often offers flexible or part-time schedules for qualified candidates.

How does working part-time as a data scientist typically impact project involvement and collaboration with full-time team members?

As a part-time data scientist, you may be assigned to specific projects or tasks that fit within your available hours, often focusing on defined deliverables or analytical support roles. Collaboration with full-time colleagues is common, usually through regular meetings, shared documentation, and communication tools to ensure alignment. It's important to clearly communicate your schedule and capacity, as timely updates and hand-offs help maintain project momentum. While you might not be involved in every stage of a project, your specialized contributions are highly valued, and many organizations foster flexible, inclusive environments to integrate part-time professionals effectively.

What is the difference between Part Time Data Scientist vs Data Analyst?

AspectPart Time Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentFlexible hours, project-based, often remoteOffice or remote, regular hours, structured projects
Employer & Industry UsageTech companies, startups, consulting firmsBusiness, finance, marketing, healthcare
Common Search & ComparisonPart Time Data Scientist vs Data Analyst

Part Time Data Scientists focus on advanced analytics, machine learning, and modeling, often requiring higher technical skills and specialized knowledge. Data Analysts typically handle data cleaning, reporting, and visualization. While both roles analyze data, Part Time Data Scientists work on complex models and predictive analytics, whereas Data Analysts focus on descriptive insights. The choice depends on your skills and career goals within data roles.

Can you work part-time as a data scientist?

Yes, data scientist roles can be available on a part-time basis, especially in freelance, consulting, or project-based work. Employers may require specific skills such as programming in Python or R, data analysis, and familiarity with tools like SQL or machine learning frameworks, which can be adapted to part-time schedules depending on the company's needs.
More about Part Time Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Wisconsin? The most popular types of Data Scientist jobs in Wisconsin are:
What are popular job titles related to Part Time Data Scientist jobs in Wisconsin? For Part Time Data Scientist jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Part Time Data Scientist jobs in Wisconsin look for? The top searched job categories for Part Time Data Scientist jobs in Wisconsin are:
What cities in Wisconsin are hiring for Part Time Data Scientist jobs? Cities in Wisconsin with the most Part Time Data Scientist job openings:
Part Time Data Scientist jobs near you
Infographic showing various Part Time Data Scientist job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $123,886 per year, or $59.6 per hour.

PT Instructor Pool - Computer and Data Science

Madison College

Madison, WI • On-site

Part-time

Posted yesterday

Job description

Current Madison College employees must apply to the internal career site by logging into Workday
Job Posting Date:
January 30, 2026
Application Deadline:
Salary Information:
Salary depends upon workload.
Department:
School of STEM_PTF Math,Phys&Earth Sciences
Job Description:
Madison College is recruiting a pool of highly motivated and qualified candidates to teach part time courses for the Computer and Data Sciences Department. Applications will be accepted on a continuous basis for the 2026-2027 academic school year. If you possess the aspiration to help others succeed, this is an opportunity for you to positively impact the community and lives of our students. Madison College is a first-choice institution that offers exceptional educational opportunities to our students providing high-demand skills for professional and academic growth.
Madison College's dedication to promoting equity, inclusion and diversity is reflected in our Mission, Vision, and Values. We believe every member on our team enriches our diversity by exposing us to a broad range of ways to understand and engage with the world, identify challenges, and to discover, design, and deliver solutions. We value the ability to serve students from a broad range of cultural heritages, socioeconomic backgrounds, genders, abilities, and orientations. Therefore, we seek applicants who demonstrate they understand the benefits of diversity in a higher education community. Hiring a diverse workforce that mirrors our student population is more than just a commitment at Madison College - it is the foundation of what we are striving to do. Come be part of our great team!
Organizational Function and Responsibilities:
This position is responsible for instruction in the Computer and/or Data Sciences courses at the University Transfer level. This includes developing a relevant and progressive curriculum, designing and implementing effective learning strategies and environments, delivering instruction of high quality, assessing student learning, advising students, and participating in college service activities at the department, division and college levels.
This position reports to the Associate Dean - School of Science, Technology, Engineering, and Mathematics.
Essential Duties:
The following duties are typically expected of this position. These are not to be construed as exclusive or all-inclusive. Other duties may be required and assigned.
1. Responsible for facilitating student learning in the Computer and Data Science Department, including but not limited to the following courses: Computer Science 1, Computer Science 2, Introduction to Programming in Python, Data Structures and Algorithms.
2. Develop and plan appropriate instructional strategies and alternative delivery strategies when appropriate including but not limited to hybrid, face-to-face and on-line course delivery.
3. Participate in in-service meetings, staff development training or other activities or programs requested by the Department.
4. Assist and advise students who have problems with assignments, tests, grades, course content, career concerns, and other academic matters.
5. Comply with college policies and directions regarding student testing, record keeping, advanced standing, providing grades on a timely basis, evaluating student performance and maintaining office hours for student assistance and counseling, etc.
6. Maintain competencies as an instructor as aligned with the Faculty Quality Assurance System.
7. Demonstrate a commitment to the college's mission, vision and values.
Knowledge, Skills, and Abilities:
1. Knowledge of current educational methods and strategies, including learner-centered instruction, assessment, evaluation and collaborative techniques and strategies that address closing the gap in student access and achievement across race, gender and disability.
2. Skill in the use of educational technology and alternative delivery methods.
3. Knowledge and ability to infuse multicultural perspectives into course content and delivery.
4. Skill in communications and human relations with populations having diverse socio-economic and racial backgrounds, as well as individuals with disabilities.
Minimum Qualifications:
1. Master's Degree in Computer Science or Data Science OR Master's Degree in a related field with 18 graduate credits in Computer Science or Data Science.
a. Foreign Transcript Evaluation: If using a foreign transcript for qualification, applicant must provide a course-by-course evaluation report to verify foreign transcript credit equivalency. A translation of the transcript will not be sufficient to determine equivalency.
Special Instructions to Applicants:
Madison College utilizes pool postings for all Part-time Instructor positions. This posting is a pool position to collect applications for potential part-time instruction positions. Part-time Instructors are hired on a per course basis each semester, and teaching one semester does not guarantee assignment for the following semester. The teaching hours for a part-time instructor vary and can include day, evening, and weekend classes.
If interested, please complete the required online application and attach a resume, cover letter, and transcripts (unofficial copy). Please note that all transcripts will be checked for verification of accreditation before hire. This pool will close on approximately January 31, 2027. If you are not contacted by this time and you are still interested in employment with Madison College, you will be asked to reapply to a new pool. All communications will be through the email provided on your application materials.
We regard diversity in the workforce as a competitive advantage and strongly support its presence in our educational environment.
If you are experiencing application issues, please contact us at the Talent Acquisition email Talent@madisoncollege.edu or HR hotline (608) 246-6900.
To ensure that emails from us regarding your application do not go to your spam folder, please add the @madisoncollege.edu domain as a safe sender in your email.
Madison Area Technical College does not discriminate on the basis of race, color, national origin, sex, disability or age in employment, admissions or its programs or activities. Madison College offers degrees, diplomas, apprenticeships and certificates in Architecture & Engineering; Arts, Design & Humanities; Business; Construction, Manufacturing & Maintenance; Culinary, Hospitality & Fitness; Education & Social Services; Health Sciences; Information Technology; Law, Protective & Human Services; Science, Math & Natural Resources; and Transportation. Admissions criteria vary by program and are available by calling our Enrollment Office at (608) 246-6210 or (800) 322-6282 Ext. 6210. The following person has been designated to coordinate Title IX of the Education Amendments of 1972 and Section 504 of the Rehabilitation Act of 1973 and to handle inquiries regarding the college's nondiscrimination policies: Lisa Muchka, Director, Civil Rights and Compliance, 1701 Wright Street, Madison, WI 53704 (608) 246.5221

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