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

IQVIA

MedTech

Milwaukee, WI · On-site

$35 - $38/hr

We believe in pushing the boundaries of human science and data science to make the biggest impact ... part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of ...

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

As of Aug 16, 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 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.

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 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.

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.
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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, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $95,240 per year, or $45.8 per hour.

Intern - Renewables Data Analytics

WEC Energy Group

Milwaukee, WI • On-site, Remote

$23.10/hr

Full-time, Part-time, Internship

Posted yesterday

New

WEC Energy Group rating

8.4

Company rating: 8.4 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

Job description

We Energies and Wisconsin Public Service, subsidiaries of WEC Energy Group, is seeking a Renewables Data Analytics intern starting May/June 2027. This position can be located in Green Bay, Wisconsin or  Milwaukee, Wisconsin locations.This position offers flexibility for a hybrid work arrangement (remote/in-office). The starting hourly rate for this position is $23.10 with paid company holidays. This internship is full-time during the Summer of 2027 with potential to work part-time during the fall.

About Us

WEC Energy Group is one of the nation's largest electric generation and distribution and natural gas delivery holding companies serving 4.7 million customers across the Midwest. We are committed to providing clean, reliable, and affordable energy in an environmentally sustainable manner. Customers are the heart of our business, and we work every day to help grow and support communities where we provide vital energy services.

As a Fortune 500 company, we value and develop our employees who are making a difference in a mission that matters. We don't just offer a job; we provide fulfilling careers where safety and well-being are paramount. Join our team and experience first-hand our commitment to your success. We offer competitive pay and benefits to recognize your hard work and dedication.

If you're talented, energetic and ready for a career with a future, we want you on our team. We are powered by a diverse and inclusive workforce fueled by the pride in what we do. If you're driven by the passion to change lives, this is the place for you.

Job Summary

The Renewables Analytics team is focused on enabling data-based decision making through clear metrics, monitoring, and robust data analytics for a large operating fleet of renewable energy projects. As an intern you will be involved in day-to-day support, business requirement gathering, data preparation, data analysis, data visualization and other activities including attending and participating in various meetings as part of the team.

Job Responsibilities

   Develop architecture & maintain databases of critical equipment meta data
   Manage data flows and data pipelines that feed real-time predictive models and other data tools
   Work closely with Renewables team, business & data analysts, and IT support groups to solve data access, architecture, and process needs
   Use available data to review the performance and reliability of wind / solar / battery storage assets
   Collaborate with Renewables team to design and deploy analytics and KPI reporting at a fleet level
   Perform ad hoc investigations of emergent equipment issues
   Manage the ETL process for transforming operational SCADA data into aggregated data repositories
   Empower subject matter experts with self-service access to raw and aggregated data
   Alternate between remote and office work as needed (hybrid setting) 
   Travel to generation sites in remote locations in WI, MI, MN, IA, IL, or IN

Minimum Qualifications

   High School Diploma, GED, or HSED 
   Current pursuit of a Bachelor's degree or higher in Data Science, Data Analytics, Computer Science, Engineering or related degree with a graduation date after June 2027
   Minimum GPA of 2.8 
   Valid Driver's License

Preferred Qualifications

   Experience writing code, programs, and/or algorithms 
   Experience with data mining, analysis, engineering, and/or visualization
   SQL (T-SQL, MySQL, Athena), VBA, API, Python/R, and Power BI
   DevOps and GitHub experience 
   Renewable energy technology, especially wind, solar, and energy storage experience
   Strong initiative, collaborative, prioritization, critical thinking skills and time management skills

End Date: 11/15/2026 

Pay Range Minimum:  $23.10

Pay Range Maximum:  $27.55

The pay range reflects the minimum and maximum for the position at the time of posting and may be modified in the future. The starting salary/pay within the pay range will be based on several factors, as applicable, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, shift, travel requirements, collective bargaining agreements, and business and organizational needs.  At WEC Energy Group, it is not typical for an individual to be hired at or near the top of the range for their role.

WEC Energy Group benefits

We reserve the right to modify the application deadline or discontinue accepting applications for any position if deemed necessary. Applications will be reviewed on a rolling basis, with interviews commencing after submission for qualified candidates. 
Learn more at Careers

WEC Energy Group will only employ those who are legally authorized to work in the United States. Individuals with temporary visas such as E, F-1 with OPT or CPT, H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.

WEC Energy Group and its subsidiaries are Equal Opportunity Employers. As a result, all qualified applicants will receive equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other protected status. The Company also complies with all applicable federal, state and local laws that require it to take affirmative action.
 

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