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Data Science Certificate Jobs in Wisconsin (NOW HIRING)

Director, Analytics, Data Engineering

Sussex, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Science and Analytics teams to enable advanced modeling and experimentation * Software ... Certified Data Management Professional (CDMP) * TOGAF or equivalent enterprise architecture ...

Director, Analytics, Data Engineering

Sussex, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Science and Analytics teams to enable advanced modeling and experimentation * Software ... Certified Data Management Professional (CDMP) * TOGAF or equivalent enterprise architecture ...

Data Engineer - Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 7+ years of ... At least 3 of 6 certifications from the following list: AWS Certified Cloud Practitioner, AWS ...

ERP AI Engineer - Manager

Milwaukee, WI · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ... certifications in AI/ML or solutions architecture preferred - Familiarity with Responsible AI ...

Showing results 21-40

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 Aug 12, 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 can I do with a data science certificate?

A data science certificate can qualify you for roles such as data analyst, data scientist, or business intelligence analyst. It demonstrates proficiency in skills like statistical analysis, programming in Python or R, and working with tools such as SQL and machine learning algorithms, which are valuable in data-driven environments.

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:
Infographic showing various Data Science Certificate job openings in Wisconsin as of August 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $123,886 per year, or $59.6 per hour.

Head of Assessment and Certification Content

DataCamp

Belgium, WI • On-site

Full-time

Posted 9 days ago


Job description

 About DataCamp

Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors.

In this role, you'll collaborate with instructors and teams across curriculum, engineering, product, and marketing to build and scale the assessments and certifications that prove those skills-helping millions worldwide validate what they've learned and signal it to employers.

About the role

This is an individual contributor role. You will own the design and production of DataCamp's assessment and certification content, working with subject-matter experts and building AI systems that generate, review, and continuously refresh high-quality, defensible questions at scale. Here's what your day-to-day will look like:

  • Own the end-to-end lifecycle for assessment and certification content-from blueprint and item design through review, publication, and ongoing maintenance-and manage deadlines across it.
  • Design psychometrically sound assessments: write and review items, define scoring and passing standards, and safeguard validity, reliability, and fairness.
  • Build and operate AI workflows-prompting, pipelines, and evaluation-that draft, grade, and quality-check items, so content production scales without sacrificing rigor.
  • Source and collaborate with subject-matter experts to keep certifications current with the fast-moving data and AI landscape.
  • Map certifications to the real skills hiring managers screen for, so a DataCamp credential is a credible signal to employers.
  • Benchmark against the wider certification landscape-competing programs, industry standards, and emerging role definitions-and set the strategy for where our certifications go next.
  • Continuously assess certification performance using pass rates, item statistics, and learner and employer feedback to drive improvements.

Qualifications:

  • A technical background in a STEM field-such as Computer Science, Data Science, AI, Statistics, or Engineering-paired with experience evaluating technical competency (e.g., designing coding assessments, technical interviews, certification exams, or graded coursework), so you can judge whether an assessment item is accurate and genuinely tests skill.
  • Demonstrated expertise in assessment design-item writing, scoring, standard-setting, and the validity, reliability, and fairness principles behind credible certification-with proven experience building or running technical assessments or certification programs.
  • A clear grasp of the skills hiring managers actually screen for in data and AI roles, and how to translate them into what a certification measures.
  • Strong experience with agentic AI systems such as Claude Code, Cursor, or Replit, and building AI automation systems. You can demonstrate you've increased your output 10x with AI.
  • Graduate degree (Master's or PhD) in a related STEM discipline, or equivalent industry experience with hands-on expertise in data science, machine learning, or software development.

Bonus if you have the following:

  • A deep understanding of the DataCamp courses, assessments, and certifications.
  • An extensive track record of building sophisticated AI systems and workflows.
  • An understanding or interest in the current certification landscape in data and AI: how leading programs are structured, where they fall short, and what makes a credential respected by employers.