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Remote Data Science Jobs in Wisconsin (NOW HIRING)

DataCamp

Data Science Editor

Belgium, WI · On-site +1

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.

KOHLS

Data Scientist II (Remote)

Menomonee Falls, WI · On-site +1

About the Role In this role you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making with advanced data analysis and ...

DataAnnotation

$40/hr

This fully remote position offers flexibility in scheduling and competitive hourly pay starting at ... Ideal candidates will have over 2 years of experience in quantitative roles such as data science or ...

DataAnnotation

$40/hr

A remote AI development firm is seeking experienced quantitative professionals to evaluate AI ... Ideal candidates are those with a background in data science or adjacent fields, with strong ...

DataAnnotation

$40/hr

The role offers fully remote work flexibility and competitive hourly rates starting at $40. Candidates should have 2+ years in a quantitative field, comfort with coding, and fluency in English. This ...

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Remote Data Science information

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$21.5K

$95.5K

$182.2K

How much do remote data science jobs pay per year?

As of May 30, 2026, the average yearly pay for remote data science in Wisconsin is $95,459.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,309.00 and $132,404.00 per year, depending on experience, location, and employer.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Wisconsin? The most popular types of Data Science jobs in Wisconsin are:
What are popular job titles related to Remote Data Science jobs in Wisconsin? For Remote Data Science jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Wisconsin look for? The top searched job categories for Remote Data Science jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Data Science jobs? Cities in Wisconsin with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Wisconsin as of May 2026, with employment types broken down into 71% Full Time, 26% Part Time, and 3% Contract. Highlights an 36% Physical, 3% Hybrid, and 61% Remote job distribution, with an average salary of $95,459 per year, or $45.9 per hour.
Data Science Editor

Data Science Editor

DataCamp

Belgium, WI • On-site, Remote

Other

Medical, Dental, Vision

Posted 23 days ago

Job description

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role:

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned editor or creator within the data and AI space with proven experience in creating, editing, and delivering written or video-based technical data and AI tutorials. You'll be responsible for working with a network of freelance creators to scale DataCamp's blog and YouTube channels.

You will collaborate closely with a team of editors, marketers, data evangelists, product marketing managers, SEO experts, and the broader commercial marketing team to drive organic traffic via our blog and tutorial pages. Through these efforts, you will help amplify and share free and valuable educational content for DataCamp's audience of learners and data practitioners.

We're excited about you because you have the following:

  • You have a strong understanding of data science, AI, cloud, or/and data engineering and can write on technical subjects in the data space yourself. You can provide multiple relevant examples of your writing and/or editing work.
  • Detailed knowledge of at least one programming language (Python, R, SQL, etc.) or Business Intelligence tool (Tableau, Power BI, etc.) 
  • You score yourself in the top 5% regarding attention to detail. Typos and incorrect grammar are your worst enemies. 
  • You can effectively use AI tools for content creation and workflow automation - without sacrificing truthfulness and quality.

If that sounds like you, we'd love to meet you.

We're even more excited about you if you have the following:

  • Strong data engineering and/or cloud expertise.
  • Previous experience as a data scientist, developer, or technical expert.
  • Demonstrable experience delivering meaningful organic growth via editorial content.
  • Knowledge of SEO best practices and how they are evolving.

Responsibilities:

This is an individual contributor role-you will be expected to recruit, lead, and grow our stable of expert freelancers, manage contracts and payments, assign them technical content, edit their work, and more. Here is what your day-to-day will look like:

  • Deliver high-quality written and video-based tutorials on data science, AI, analytics, business intelligence, data engineering, cloud, and more.
  • Write content briefs that guide freelancers to create content that provides value for DataCamp's community of learners. 
  • Recruit and manage freelance creators & experts from the data science, AI, analytics, business intelligence, data engineering, and cloud communities.
  • Edit the work of freelancers and ensure that content is ready to be published in a timely manner.
  • Combine SEO keyword analysis with a deep understanding of the data and AI space to iterate and improve the content we create.
  • Your targets for 2026 are maintaining a robust editorial calendar, delivering 25 new articles and 4 new videos per month, while ensuring freelancers adhere to quality standards and deadlines.

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.
  • 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 and retreats.
  • 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.

At DataCamp, we value diverse experiences and perspectives. If you're excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great!

Apply