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Freelance R Shiny Developer Jobs in Milwaukee, WI

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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 Sep 10, 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 a freelance R Shiny developer?

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 the key skills and qualifications needed to thrive as a freelance R Shiny developer?

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 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 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 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:

Freelance R Shiny Developer jobs near you
Infographic showing various Freelance R Shiny Developer job openings in Milwaukee, WI as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $47,067 per year, or $22.6 per hour.

Senior Personalization Analytics Analyst

Menomonee Falls, WI • On-site

Jobtailor
See more jobs at Jobtailorexternal

$86K - $107K/yr

Other

Posted 4 days ago

Job description

  • Lead the development, testing, and curation of statistical and machine learning models for customer strategy within Marketing
  • Provide analytical and technological support and consultation to marketing partners from executive level to strategy teams
  • Potentially co-develop marketing technologies with IT teams
  • Construct and curate datasets for model features
  • Develop methodologies for model creation, testing, execution, and maintenance
  • Manage projects and code bases in Github
  • Lead working groups and participate in steering committees with IT partners
  • Potentially lead UAT testing
  • Provide project communications to Marketing leaders
  • Define analytical and reporting requirements with partners
  • Respond to complex inquiries with actionable insights and advice
  • Deliver technical capabilities to partners
  • Create dashboards or decks with recommendations
  • Provide data-driven insights to confirm or refute partner hypotheses
  • Advise Marketing leaders on technology investments
  • Demonstrate ROI of technological advancements through proof-of-concept projects
  • Perform additional tasks as assigned
Requirements
  • Bachelor’s Degree in relevant field
  • Experience coding in general purpose languages, e.g. Java, Python, C++
  • Experience developing, testing, and curating statistical and machine learning models
  • Experience using traditional RDBMS, e.g. Teradata, MSSQL Server
  • Experience using cloud offerings, e.g. Azure, AWS, GCP
  • Experience using software version control, e.g. Github
  • Experience using any flavor of the Apache Hadoop Framework, e.g. Hortonworks, Cloudera, MapR
  • Demonstrated ability to establish and maintain strong working relationships and achieve results by working collaboratively with others
  • Ability to work in a rapidly changing environment while prioritizing and managing multiple tasks
  • Strong oral and written communication skills, including experience with data visualization technologies such as Jupyter Notebooks, R Shiny, and Tableau
  • Master’s Degree or Ph.D in the hard sciences, computer science, engineering or other applicable field (preferred)
  • 4+ years of relevant Data Science, Applied Mathematics, and/or IT experience (preferred)
Core Competencies

Demonstrates expertise in developing and curating statistical and machine learning models, alongside strong project management and communication skills to effectively collaborate with marketing and IT teams. Proficient in utilizing data visualization tools and cloud technologies to deliver actionable insights and support marketing strategies.

Highest-signal resume keywords
  • Statistical And Machine Learning Model Development
  • Data Visualization Technologies
  • Cloud Technologies (Azure, AWS, GCP)
  • Project Management In Github
  • Strong Communication Skills
ATS Optimization Keywords Hard Skills
  • Java
  • Python
  • C++
  • Statistical Modeling
  • Machine Learning
  • RDBMS (Teradata, MSSQL Server)
  • Apache Hadoop Framework
  • Data Curation
  • Data Analysis
  • Dashboard Creation
Soft Skills
  • Collaboration
  • Adaptability
  • Strong Relationships
  • Problem Solving
  • Communication
Certifications & Qualifications
  • Bachelor’s Degree
  • Master’s Degree
  • Ph.D.
Industry Keywords
  • Marketing Technology
  • Data Science
  • Applied Mathematics
  • ROI Demonstration
  • UAT Testing
Tools & Technologies
  • Github
  • Jupyter Notebooks
  • R Shiny
  • Tableau
  • Cloud Platforms
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