Appsilon is an ambitious and fast-growing software house and consultancy specializing in decision support systems and machine learning with Fortune 500 clients across the globe. We are a unique company driven by a mission to improve our society and environment. Some examples of our #AI4good work include contributing to animal preservation in Gabon Parks, building COVID-19 dashboards, and improving data science tools for Doctors Without Borders.
We are a global leader in R and Shiny, which are used by companies of all sizes to build analytical applications. When companies run into difficult problems or want to initiate large-scale enterprise projects, they come to Appsilon.
Before you apply, please read our code of conduct.
We invest part of our profits into Data4Good projects and offer our service in ML and Shiny on reduced rates or pro-bono. We are committed to make investments and support researchers in doing high impact work in Biodiversity and Climate Change. We care about the impact that our work has on the world around us.
We are looking for a Data4Good Lead who will drive those efforts and impact.
Some examples of our #Data4good work includes contributing to animal preservation in Gabon Parks, building Lyme and Tickborne Disease Dashboard with JHU, and improving performance of a COVID dashboard for Doctors Without Borders.
We are a global leader in R and Shiny, which are used by companies of all sizes to build analytical applications. We have a ML team that does SOTA research in Computer Vision.
By joining Appsilon at this stage you get a unique opportunity to have a meaningful impact on the company and its culture.
Nice to haves
Every few months we start completely new projects and dive into a new industry. One day we might discover the secrets of promotions in retail chains, another day we might analyze satellite images using machine learning. 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.
In this app, you can explore an AI model that the Appsilon AI team built for the xView2 competition. The model locates buildings and assesses damage sustained after natural disasters.
This app allows for an interactive exploration of disaster risk and development indicators in Madagascar.
When we build scalable and reliable enterprise dashboards, we focus on UX and a modern aesthetic that improves our models' functionality.