Appsilon is Hiring Globally: Remote R Shiny, Front-End, and Business Roles Open

[This article was first published on r – Appsilon | End­ to­ End Data Science Solutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Join a World-Class Team of Explorers

Do you want to work with global leaders in R and R Shiny? Are you located on planet Earth? Then this blog post is for you!

Appsilon was founded in 2013 by software engineering veterans from Google, Microsoft, Bank of America, and Domino Data Lab. Over the years, our team has excelled in providing innovative data analytics and machine learning solutions for enterprise companies, NGOs, and non-profit organizations.

We’ve been growing rapidly in the past few years, and we’re on the hunt for kind, intelligent people to join our team. We currently have nine positions open and are looking forward to filling them with exceptional people. We are a global remote-first company with multiple Fortune 500 clients and team members in Europe, the UK, South America, and North Africa

Why Should You Work at Appsilon? 

Appsilon is a remote-first company. We are very proud of our remote-first policy, and we pivoted to a remote setup at the very beginning of the COVID-19 crisis. This past year has proved that not only can we maintain our current pace of work and high standards in a remote environment, but that we can also expand and improve! 

Want to learn more about how our remote office works? Read Remote Data Science Team Best Practices: Scrum, GitHub, Docker, and More

As an Appsilonian, you’ll have a meaningful impact on the world. We routinely contribute our expertise in data science, machine learning, and computer vision to projects that aim to have a positive impact. Through our AI For Good initiative, we tackle some of the world’s most pressing challenges – from fighting climate change to preserving wildlife populations in Africa with computer vision

At Appsilon, we value work-life harmony. With us, it’s possible to have a challenging and stimulating career without sacrificing your personal life or family time. We value mental and physical health, and we encourage each other to enjoy hobbies outside of work. We are a community of kind, friendly, and motivated professionals committed to excellence and innovation.

Read more about AI4Good:

At Appsilon you will also have an opportunity to work with some of the world’s most influential Fortune 500 companies on exciting data science and visualization projects. Here are the kinds of projects that we work on at Appsilon:

Application/Dashboard Development with R Shiny

We create, maintain, and develop Shiny applications for enterprise customers all over the world. We provide scalability, security, and modern UI/UX with custom R packages that native Shiny apps do not provide. At Appsilon, we are among the world’s foremost experts in R Shiny and have made a variety of Shiny innovations over the years. We cover everything from business analysis and data science consulting to code refactoring.

See our work: Appsilon’s Shiny Demos

Wildlife Image Classification with Machine Learning

Since 2018 we’ve been working with Gabon’s National Park Agency to lead a large-scale biodiversity monitoring program that uses 200 camera traps to survey the mammal population in Lopé and Waka National Parks (comprising 7000 km2 of a continuous forest). The aim of this project has been to build capacity for long-term, scientifically rigorous biodiversity monitoring in both national parks and also within the National Parks Agency as a whole. On this project, we are building a fully open-source multi-platform solution for wildlife image classification. The project is directly tied to our AI For Good initiative.

Read more: ML Wildlife Image Classification to Analyze Camera Trap Datasets

Open Positions

We are primarily looking for talented R Shiny developers, Frontend specialists, and Infrastructure engineers, but we also have other less technical (and non-technical) positions. Here’s a list of some of our open roles: 

  • Fullstack Software Engineer / Tech Lead (Javascript, React.js, Python) – work on some of the most advanced R Shiny apps for global leaders. Learn more
  • R Shiny Developer (R Shiny, Javascript) – build applications and dashboards and allow users to interact with their data and analysis. Learn more
  • Infrastructure Engineer (DevOps, Linux, Cloud) – build infrastructure in data science projects, experiment with technologies of your choice, and help build dashboards for large companies. Learn more
  • Frontend Engineer (Javascript, CSS/SASS, HTML, React) – build the world’s most advanced dashboards and transform them into innovative tools for Fortune 500 company managers. Learn more
  • Community Manager – manage our events, webinars, social media, and newsletters. You will also work on content for our blog and help generate case studies with our tech team. Learn more

There are more job listing on our Careers page, so make sure to check it out. There’s also a possibility to create your own position, so feel free to apply at any time.

See the full list of nine available positions

Our Recruiting Process

So you see a role that fits your skills and you want to apply? Simply submit your application through the submission form on our Careers page or send a direct email to [email protected]. Here’s an outline of our hiring process: 

Recruiting process

These steps aren’t set in stone, as our recruitment process is flexible to each candidate and to every position.

We can’t wait to meet you and to start working together. Apply now!

Article Appsilon is Hiring Globally: Remote R Shiny, Front-End, and Business Roles Open comes from Appsilon | End­ to­ End Data Science Solutions.

To leave a comment for the author, please follow the link and comment on their blog: r – Appsilon | End­ to­ End Data Science Solutions.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.