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Part Time Data Scientist Jobs in Wisconsin (NOW HIRING)

WEC Energy Group

Intern - Energy Analytics

Milwaukee, WI · On-site

$23.10/hr

This internship is full-time during the Summer of 2027 with the potential to work part-time during ... Current pursuit of a Bachelor's or Master's degree in Business, Analytics, Computer Science, Data ...

WEC Energy Group

Intern - Energy Analytics

Milwaukee, WI · On-site

$23.10/hr

This internship is full-time during the Summer of 2027 with the potential to work part-time during ... Current pursuit of a Bachelor's or Master's degree in Business, Analytics, Computer Science, Data ...

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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 Sep 6, 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 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 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 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.

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.

More about Part Time Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Wisconsin?

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For Part Time Data Scientist jobs in Wisconsin, the most frequently searched job titles are:

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Part Time Data Scientist jobs near you
Infographic showing various Part Time Data Scientist job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,886 per year, or $59.6 per hour.

Sales Operations Analyst Intern

Direct Supply, Inc.

Milwaukee, WI • On-site

$14.75 - $20/hr

Part-time

Posted 5 days ago

Job description

As a Sales Operations Analyst Intern, you'll do more than observe; you'll contribute to real projects that help our Sales organization make smarter, data-driven decisions.
You'll join a collaborative team that will help you get up to speed through hands-on training, coaching, and ongoing support. As you build your skills, you'll have opportunities to take ownership of meaningful work, analyze business challenges, share your ideas, and turn data into recommendations that can make a real impact.
You'll work alongside team members and business stakeholders to uncover sales trends, create reports, improve processes, and solve problems. Along the way, you'll gain practical experience in analytics, sales operations, technology, and project management while building skills you can carry into your future career.
Direct Supply is building the future of healthcare technology with industry-leading products, solutions, and platforms that help improve the lives of millions of seniors and those who care for them.
What You'll Do and Impact:
  • Work on real business challenges. Analyze qualitative and quantitative data to provide insights into sales performance and make actionable recommendations to leadership and key stakeholders.
  • Turn data into insights. Create and analyze reports that help the team understand performance and support strategic sales initiatives.
  • Learn from an experienced team. Receive training, coaching, and feedback to help you build your skills, understand the business, and become successful in your role.
  • Bring your ideas to the table. Collaborate with team members and stakeholders to explore new requests, ask questions, and recommend effective data-driven solutions.
  • Make work better. Help manage and improve sales processes and systems, including our CRM, by using AI and technology to help the sales team work more effectively.
  • Build your communication skills. Share project outcomes, insights, and recommendations with your team, business stakeholders, and senior leaders.
  • Grow your ownership. As your skills and confidence develop, take on greater responsibility for projects and cross-functional initiatives.

Skills Needed:
  • Systems Thinking & Problem Solving - Identify the right problems to solve by understanding the broader system - customers, stakeholders, processes, data, technology, and AI. Connect root causes, dependencies, tradeoffs, and upstream and downstream effects to develop practical, scalable solutions that improve the whole.
  • Apply Judgment - Make sound decisions by evaluating data, context, assumptions, risk, and outcomes. Critically assess ideas and AI-generated outputs, consider interdependencies, voice a clear point of view, and own the results and impact.
  • Create & Shape Ideas - Generate, test, and develop new ideas into useful, high-quality solutions and experiences. Use creativity, curiosity, technology, and different perspectives to see around the corner, innovate and develop ideas into outcomes that create value and scale.
  • Influence & Collaborate - Build trust, communicate clearly, and work across boundaries to drive action and shared outcomes. Seek and integrate different perspectives, contribute ideas, work through dependencies, and help teams make progress together through change and ambiguity.
  • Learn & Adapt - Continuously grow and adapt as technology, customer needs, roles, and work systems evolve. Stay curious, learn beyond your core specialty, experiment with new approaches, use AI to accelerate learning, and improve through feedback and setbacks.
  • Demonstrated proficiency in Microsoft Excel, including data mining and analysis, and comfort using AI tools such as Claude and ChatGPT.

Experience:
  • Currently enrolled in a bachelor's degree program in Business, Mathematics, Information Technology, Data Science, Engineering, or a related field.
  • Ability to work part time (15-20 hours per week) during the school year and full time (40 hours) during the summer.

Additional Items of Interest:
  • GPA of 3.3 or higher.
  • Previous intern or business analytics experience.
  • Familiarity using Power BI and Databricks.
  • Knowledge of Python, R, SQL, or other programming languages.

Job to be performed in the location listed. Generous benefit package available.
© 2013 to 2026 Direct Supply, Inc. All rights reserved.

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