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Freelance R Shiny Developer Jobs in Milwaukee, WI

DataCamp

Data Science Editor

Belgium, WI · On-site +1

Detailed knowledge of at least one programming language (Python, R, SQL, etc.) or Business ... Recruit and manage freelance creators & experts from the data science, AI, analytics, business ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

Detailed knowledge of at least one programming language (Python, R, SQL, etc.) or Business ... Recruit and manage freelance creators & experts from the data science, AI, analytics, business ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

Detailed knowledge of at least one programming language (Python, R, SQL, etc.) or Business ... Recruit and manage freelance creators & experts from the data science, AI, analytics, business ...

All JobsR Shiny Developer JobsFreelance R Shiny Developer JobsFreelance R Shiny Developer Jobs in Milwaukee, WI

Freelance R Shiny Developer information

See Milwaukee, WI salary details

$9

$22

$67

How much do freelance r shiny developer jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for freelance r shiny developer in Milwaukee, WI is $22.63, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $18.46 per hour, depending on experience, location, and employer.

What is the difference between Freelance R Shiny Developer vs Data Analyst?

AspectFreelance R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, web app developmentData manipulation, visualization, statistical analysis
Work EnvironmentIndependent, project-based, remote or on-siteCorporate or organizational settings, often full-time
CertificationsR programming, Shiny development experienceData analysis, statistics, or related certifications
Industry UsageTech, healthcare, finance, research projectsBusiness intelligence, market research, reporting

While both roles involve working with data, a Freelance R Shiny Developer specializes in creating interactive web applications using R and Shiny, often on a project basis. A Data Analyst focuses on interpreting data, generating reports, and providing insights within organizations. The developer role emphasizes technical web app skills, whereas the analyst role centers on data interpretation and communication.

What are the key skills and qualifications needed to thrive as a Freelance R Shiny Developer, and why are they important?

To thrive as a Freelance R Shiny Developer, you need strong proficiency in R programming, Shiny app development, and a solid understanding of data analysis or statistics, often supported by a degree in a quantitative field. Familiarity with version control systems (like Git), cloud deployment platforms, and knowledge of relevant R packages are typically required. Excellent problem-solving, communication, and client management skills set successful freelancers apart. These skills and qualities are essential for delivering effective, user-friendly applications and maintaining strong client relationships in a competitive freelance market.

What are Freelance R Shiny Developers?

Freelance R Shiny Developers are independent professionals who design, build, and maintain interactive web applications using R and the Shiny framework. They typically work on a contract or project basis for various clients, helping to transform data analysis and statistical models into user-friendly dashboards and tools. Their responsibilities may include data visualization, UI/UX design, deploying Shiny apps, and integrating them with other technologies. Since they work freelance, they often manage multiple projects and clients simultaneously, offering flexibility and specialized expertise.

What are some common challenges faced by freelance R Shiny developers when working with clients remotely?

Freelance R Shiny developers often encounter challenges such as clearly understanding client requirements, managing communication across different time zones, and ensuring that the application meets both technical and business needs. Since projects are typically remote, it is important to establish regular check-ins, use collaborative tools for feedback, and maintain thorough documentation. Additionally, balancing multiple projects and staying updated on the latest R Shiny features can be demanding, but these practices help ensure successful project delivery and client satisfaction.
What are the most commonly searched types of R Shiny Developer jobs in Milwaukee, WI? The most popular types of R Shiny Developer jobs in Milwaukee, WI are:
What are popular job titles related to Freelance R Shiny Developer jobs in Milwaukee, WI? For Freelance R Shiny Developer jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Freelance R Shiny Developer jobs in Milwaukee, WI look for? The top searched job categories for Freelance R Shiny Developer jobs in Milwaukee, WI are:
Freelance R Shiny Developer jobs near you
Infographic showing various Freelance R Shiny Developer job openings in Milwaukee, WI as of July 2026, with employment types broken down into 79% Full Time, 8% Part Time, 4% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $47,067 per year, or $22.6 per hour.
Digital Personalization Analytics Expert (Remote)

Digital Personalization Analytics Expert (Remote)

KOHLS

Menomonee Falls, WI • On-site

Other

Posted 3 days ago

Kohl's rating

5.7

Company rating: 5.7 out of 10

Based on 1,446 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores

Job description

This position can be remote; however, if you reside near our offices in Menomonee Falls, WI, or New York City, NY, we request that you work onsite from Monday through Thursday, with the option to work remotely on Fridays.

About the Role

In this role you will ensure the creation of best-in-class digital experiences for Kohl’s customers using advanced analytics geared toward diagnostics, customer-level 1:1 modeling and in-market testing.

What You’ll Do

  • Leverage large-scale data and advanced analytics to optimize digital customer engagement and lifetime value

  • Lead end-to-end data science initiatives, from problem framing and exploratory analysis through model development, validation and production deployment

  • Drive consolidation of insights across digital initiatives to continuously enhance data-driven targeting and personalization strategies

  • Oversee test design and activation, ensuring model execution, audience segmentation and timelines are delivered effectively to stakeholders

  • Establish rigorous documentation standards for analytics assets, experiments and insights to enable knowledge sharing and scalability

  • Mentor junior data scientists, providing technical guidance and fostering a culture of continuous learning and excellence

  • Represent the Data Science team in cross-functional forums, independently communicating methodologies, results and strategic implications

  • Champion production-grade machine learning practices, promoting scalable code and robust deployment standards

  • Stay current on emerging data science methodologies and technologies, identifying and driving innovation opportunities that create business impact

  • Establish and maintain strong working relationships and achieve results by working collaboratively with others

  • Additional tasks may be assigned

What Skills You Have

Required

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related quantitative field

  • 5+ years (or 2+ years with a Master’s degree) of progressively complex data science experience

  • Expertise in developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver value

  • Expert in using modern analytics tools, programming languages and cloud platforms (Python, R, Spark, SQL, GCP, etc.), as well as version control systems such as GitHub

  • Strong problem-solving skills with experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterating quickly

  • Experience with data visualization technologies such as Streamlit, R Shiny, Looker, Qlik, Tableau, etc.

Preferred

  • Master's degree and/or Ph.D.

  • Digital / Ecommerce data science experience

  • Retail and Marketing experience

What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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