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Data Science Remote Freelance Jobs in Wisconsin (NOW HIRING)

... von Data-Science- und KI-Projekten. Rahmenbedingungen Start: ASAP Laufzeit: Ende 2026, Verlangerung moglich Auslastung: 100 % Arbeitsmodell: Remote bevorzugt, gelegentliche Vor-Ort-Termine nach ...

Flexible work week onsite Mondays through Thursdays and optional remote Fridays; plus, half day ... Pursuing a bachelor's degree in information science, data science, information technology, computer ...

Flexible work week onsite Mondays through Thursdays and optional remote Fridays; plus, half day ... Pursuing a bachelor's degree in information science, data science, information technology, computer ...

Flexible work week onsite Mondays through Thursdays and optional remote Fridays; plus, half day ... Pursuing a bachelor's degree in information science, data science, information technology, computer ...

Sr. Data Engineer

Pewaukee, WI · On-site +1

$112K - $134K/yr

However, this role is not available for 100% remote work and would require relocation to either ... What You'll Bring Required Qualifications Bachelor's degree in Computer Science, Information ...

Data Engineer

Delafield, WI · On-site +1

$109K - $131K/yr

Collaborate with analysts, data scientists, and software engineers to understand requirements and ... WORK ENVIRONMENT Work is performed in an office environment, with hybrid/remote flexibility ...

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

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Data Science Remote Freelance information

What does a data science remote freelance professional do?

A Data Science Remote Freelance job involves working independently, often from home or any location, to provide data analysis, modeling, and interpretation services to various clients or companies. Freelance data scientists use programming, statistics, and machine learning to solve business problems, create predictive models, and generate actionable insights from data. They may work on projects like data cleaning, visualization, algorithm development, and reporting, and must manage their own schedules and client relationships.

What skills and qualifications are needed to thrive as a data science remote freelance professional?

To thrive as a Data Science Remote Freelance professional, you need strong analytical skills, proficiency in statistics, programming (Python or R), and a solid understanding of machine learning, typically supported by a relevant degree or portfolio. Familiarity with data visualization tools (like Tableau), cloud platforms (such as AWS or GCP), and version control systems (like Git) is highly valuable. Exceptional communication, self-motivation, and time management are critical soft skills for remote client collaboration and project delivery. These skills ensure you can independently deliver actionable insights and maintain client satisfaction in a flexible, remote setting.

How do data science remote freelance professionals manage collaboration and communication with clients and teams?

Remote freelance data scientists usually rely heavily on digital collaboration tools such as Slack, Zoom, and project management platforms to stay connected with clients and team members. Clear communication about project goals, timelines, and deliverables is essential, especially since team members may be located in different time zones. Regular check-ins, status updates, and sharing progress through documentation or presentations help ensure everyone stays aligned. Building strong relationships and maintaining transparency are key to successful remote collaboration in this role.

What is the difference between Data Science Remote Freelance vs Data Analyst Remote Freelance?

AspectData Science Remote FreelanceData Analyst Remote Freelance
Required CredentialsTypically requires a degree in data science, statistics, or related field; proficiency in programming languages like Python or RUsually requires a degree in statistics, mathematics, or related field; strong Excel and SQL skills
Work EnvironmentIndependent, project-based, often self-managedIndependent, project-based, often self-managed
Employer & Industry UsageUsed by tech companies, startups, and consulting firms for complex data modelingUsed across industries for reporting, data visualization, and business insights

Data Science Remote Freelance and Data Analyst Remote Freelance share similarities in work environment and employer usage, but data science roles typically require more advanced technical skills and programming knowledge. Both roles are popular in remote freelance markets, serving different analytical needs.

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

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

What cities in Wisconsin are hiring for Data Science Remote Freelance jobs?

Cities in Wisconsin with the most Data Science Remote Freelance job openings:

Infographic showing various Data Science Remote Freelance job openings in Wisconsin as of June 2026, with employment types broken down into 3% As Needed, 49% Full Time, 34% Part Time, and 14% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

Curriculum Manager - Data Science and AI

Belgium, WI • On-site, Remote

DataCamp
E-Learning • 11 - 50 employees

Full-time

Medical, Dental, Vision

Re-posted 6 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 expand and improve our Data Science and Data Engineering curriculum-helping millions worldwide upskill in data and AI.

About the role

This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation. Here's what your day-to-day will look like: 

  • Manage the entire content development lifecycle and deadlines.
  • Source and recruit top-tier subject-matter experts as instructors. 
  • Collaborate with instructors to create engaging content. 
  • Consistently leverage a variety of off-the-shelf and in-house AI systems to drive high-quality content production. 
  • Design, review, and create content on data science and data engineering. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective.
  • Continuously assess course performance using learner feedback and engagement data to drive improvements.
  • Identify and prioritize existing curriculum gaps or new topics in data science and data engineering.

Qualifications:

  • A solid technical background in Python and SQL. A technical background in data engineering is a plus. 
  • Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences.
  • Graduate degree (Master's or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science, machine learning, or software development.
  • Strong experience with agentic AI systems such as Claude Code, Cursor, Replit. You can demonstrate you've increased your output 10x with AI.

Bonus if you have the following

  • A deep understanding of the DataCamp course format-you have an intuitive understanding of what makes a great DataCamp course.
  • An existing network of potential subject matter experts who can become DataCamp instructors.
  • An extensive track record of building sophisticated AI systems and workflows.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:

  • Exciting Challenges - Tackle some of the most important educational challenges in Data & AI.
  • Work with the Best Instructors - Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more.
  • Competitive Compensation - We offer a competitive salary with attractive benefits.
  • Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.
  • Professional Growth - Access to a yearly learning & development budget.
  • Global Culture - Join a team that values international collaboration.
  • Annual Retreats - Participate in international company retreats, fostering a global team spirit.
  • Tools & Setup - Receive an annual IT equipment budget to refresh your workspace.

Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.