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Freelance R Shiny Developer Jobs in Illinois (NOW HIRING)

The primary project involves migrating existing R Shiny applications to React-based applications ... Developers will also support new dashboards, custom workflows, data updates, and smaller ...

New

Advanced programming skills for front-end ML application design (Shiny, Dash,Streamlit) and ML workflows for HPC modeling; proficiency with statistical programs such as R and Python; workflow and ...

Advanced programming skills for front-end ML application design (Shiny, Dash, Streamlit) and ML workflows for HPC modeling; proficiency with statistical programs such as R and Python; workflow and ...

Experience with energy data; knowledge in energy economics and energy markets; proficiency in programming languages (R, Stata, SQL, JavaScript); experience with web application frameworks (Shiny ...

Senior Data Scientist

Chicago, IL · On-site

$89 - $127/hr

... engineering, marketing or social science methods. * Hands‑on experience mining data for ... Hands‑on experience using Python or R, SQL, and distributed computing systems such as Hadoop or ...

Senior Data Scientist

Chicago, IL · On-site

$89 - $127/hr

... engineering, marketing or social science methods. * Hands‑on experience mining data for ... Hands‑on experience using Python or R, SQL, and distributed computing systems such as Hadoop or ...

Freelance R Shiny Developer information

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?

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 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 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 Illinois?

The most popular types of R Shiny Developer jobs in Illinois are:

What are popular job titles related to Freelance R Shiny Developer jobs in Illinois?

For Freelance R Shiny Developer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Freelance R Shiny Developer jobs in Illinois look for?

The top searched job categories for Freelance R Shiny Developer jobs in Illinois are:

What cities in Illinois are hiring for Freelance R Shiny Developer jobs?

Cities in Illinois with the most Freelance R Shiny Developer job openings:

MernStack Developer

Yotta Systems INC

Chicago, IL • On-site

Other

Posted yesterday

New


Job description

<>Interview Mode :-Face to Face
Key Responsibilities:
  • Candidates should ideally provide a GitHub, portfolio, or live website/work sample demonstrating React development.
  • Seeking a Mern Stack Developer with approximately 5 7 years of experience.
  • React.js and Node.js are the most critical technical skills.
  • Strong hands-on experience with MongoDB and PostgreSQL/SQL databases is required.
  • Experience with TypeScript and JavaScript frameworks is expected.
  • Candidate should understand AWS, Docker, CI/CD pipelines, and basic AWS infrastructure.
  • Experience deploying and supporting applications in production environments is important.
  • Candidate should be comfortable with data refreshes, application maintenance, and ongoing enhancements.
  • The primary project involves migrating existing R Shiny applications to React-based applications.
  • Responsibilities will include rewriting/migrating existing code and building interactive web applications and dashboards.
  • Developers will also support new dashboards, custom workflows, data updates, and smaller enhancements.
  • Applications are highly interactive and include custom analytics dashboards and workflow automation.
  • The team provides existing code, patterns, documentation, and requirements to accelerate development.
  • The role supports custom data analytics solutions developed for Marsh clients.
  • Insurance/claims or workers compensation domain knowledge is a strong plus but NOT mandatory.
  • Strong communication, documentation, teamwork, and business-to-technical translation skills are important.
  • Candidate should be able to work independently while collaborating with U.S. and offshore development teams.
  • Experience using AI-driven development tools is preferred; candidates should be open to bringing innovative AI ideas to the team.
  • Top priority: Strong hands-on React + Node.js + MongoDB/SQL development experience and the ability to build/deploy production-quality applications.