Appsilon - External R/Shiny Developer

Appsilon - External R/Shiny Developer

External R/Shiny Developer - Appsilon

paid / remote / fixed-timer

About Appsilon

Appsilon is an ambitious and fast-growing data science & machine learning consultancy with Fortune 500 clients across the globe. We are building a unique company driven by a mission to improve our society and environment with Artificial Intelligence and Data Science. As an R/Shiny Developer you’ll have the opportunity to deliver the world’s most advanced R/ Shiny applications for Fortune500 clients. You’ll provide end-to-end data-driven solutions that allow improving customers’ business processes.


  • Create, maintain, and develop R/Shiny applications for enterprise customers all over the world
  • Provide scalability, security, and modern UI/UX with custom R packages
  • Analyze and visualize data from various industries
  • Develop & scale Shiny apps for enterprise customers that are capable of thousands of simultaneous users and can operate on a distributed infrastructure

What’s in it for you:

  • Remote work
  • B2B or permanent employment
  • 15,000 – 30,000 PLN + VAT (B2B) (~$3880 – $7770)/monthly
  • Frequent project changes and learning about a variety of industries
  • Projects that have a real impact on the world. More on
  • Flexible working hours

What will your work look like?

  • You’ll work on a specific project in a team of 2-5 people
  • We work in an agile way (Scrum / Scrumban)
  • You’ll work really close to data and create dashboards
  • You’ll work in a team of software engineers and data scientists
  • You will take care of the high quality of code – an integral part of your work will be code review, unit tests, end-to-end tests, and best practices

What we expect:

  • Experience with R programming and building interactive R/Shiny applications
  • JavaScript (vanilla JS + jQuery)
  • Experience in creating data visualizations
  • Git
  • English language B2/C1 level

Our projects:

Every few months we start completely new projects and dive into a completely new world. One day we learn the secrets of promotions in retail chains, another day we analyze satellite images, and then we get super interesting data from the residential market for analysis. Our projects are not only an opportunity to test our skills in difficult statistical, algorithmic, and technological problems but also an opportunity to learn how many different industries work from the inside.

Some examples of our projects:

Technologies we use:

  • R
  • Shiny
  • JavaScript
  • React.js
  • Python
  • Docker
  • Ansible
  • Git
  • AWS
  • HTML
  • Tensorflow
  • Plotly

Apply to this position

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