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Data Science Certificate Jobs in Wisconsin (NOW HIRING)

WI · On-site

$140 - $190/hr

Bachelor's degree in computer science, information systems, information technology, data management ... Relevant certifications in Microsoft Fabric, Azure, cloud data platforms, data engineering, Agile ...

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Data Science Certificate information

See Wisconsin salary details

$37.9K

$123.9K

$198.3K

How much do data science certificate jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science certificate 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 data science certificate?

A Data Science Certificate job refers to roles where employers recognize or prefer candidates who have earned a certificate in data science. These positions typically involve analyzing data, building models, and deriving insights using programming, statistics, and machine learning. While a certificate alone may not replace a full degree, it can demonstrate expertise and practical skills to potential employers. Many professionals pursue certificates to transition into data science or enhance their existing qualifications.

What does someone with a data science certificate do?

Professionals with a Data Science Certificate often work on projects involving data cleaning, statistical analysis, building and evaluating predictive models, and creating visualizations to communicate findings. Daily tasks may include collaborating with other data team members or stakeholders to understand business problems, preparing datasets, running machine learning experiments, and presenting actionable insights. The work is usually project-based, offering variety and opportunities to solve real-world problems using data. As you gain experience, you may also contribute to improving data processes or mentor junior team members, further advancing your career.

What skills and qualifications are needed for a data science certificate?

To thrive in data science roles, individuals need strong analytical skills, proficiency in statistics, and experience with programming languages such as Python or R, often formalized through a data science certificate or related degree. Familiarity with data visualization tools, machine learning frameworks, and cloud platforms is essential for daily tasks. Effective communication, problem-solving abilities, and teamwork are valuable soft skills that help interpret complex data and convey insights to diverse audiences. These skills ensure you can manage, analyze, and present data-driven solutions that directly impact organizational decision-making.

What are popular job titles related to Data Science Certificate jobs in Wisconsin?

For Data Science Certificate jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Science Certificate jobs in Wisconsin look for?

The top searched job categories for Data Science Certificate jobs in Wisconsin are:

Infographic showing various Data Science Certificate job openings in Wisconsin as of August 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $123,886 per year, or $59.6 per hour.

Intern, Energy Data Science

Dairyland Power Cooperative

La Crosse, WI • On-site

$30/hr

Part-time

Posted 4 days ago


Job description

Hourley Wage: $30.00

PURPOSE: The Energy Data Science Intern will support strategic decision making by increasing data accessibility, performing statistical analysis, building predictive models, and providing actionable insights. This position advances all DPC's strategic priorities, but most notably our commitment to financial strength, growth & innovation, and our safety culture.

ESSENTIAL JOB FUNCTIONS:

Build, test and document data pipelines that ingest, transform and deliver data for analysis and reporting. Assist with integrating APIs, databases, enterprise applications and external data sources into Dairyland Power Cooperative's cloud-based Lakehouse environment. Clean, validate and organize energy and business data to improve reliability and accessibility. Perform statistical analysis to identify trends, quantify uncertainty and support business decisions. Develop and evaluate machine learning models for defined business applications. Support model deployment, validation, performance monitoring and ongoing improvement. Translate business questions into quantitative analyses. Present findings, assumptions and recommendations clearly to technical and nontechnical audiences. Create technical documentation for data sources, pipelines, models and analytical methods. Perform other duties as assigned.

MINIMUM QUALIFICATIONS:

Education & Experience: Currently pursuing either an undergraduate or graduate degree in data science, statistics, mathematics, artificial intelligence, computer science, or another related field.

Skills:

  • Experience using at least one scientific computing language, preferably Python

  • Foundational knowledge of data structures, statistical analysis and relational databases

  • Strong analytical, problem-solving and organizational skills

  • Strong verbal, written and interpersonal communication skills

  • Ability to work independently.

PREFERRED QUALIFICATIONS:

  • Experience with SQL and data modeling

  • Experience building data pipelines or integrating APIs

  • Familiarity with Microsoft Fabric, AWS or another cloud data platform

  • Familiarity with machine learning model development, validation, and deployment

  • Experience with Power BI or another data visualization tool

  • Experience using Git or another version control system

Licenses and Certifications:Valid Driver's License

Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms.

Environmental Demands: Normal work schedule is indoors.

Other Job Characteristics: Travel required, occasionally overnight. Works with limited supervision in a variably paced, variable pressure setting. Handles multiple priorities.