Analyze the data, verify hypotheses, and build dashboards for large global companies. Work from Warsaw or Gdańsk with clients from the US and EU. Work on some of the most advanced R data pipelines and Shiny apps in the world for the leading company in this space.

Before applying read our code of conduct

If you would like to…

• work with Machine Learning and in Data Science;
• build and develop dashboards;
• create apps that will be used by Fortune 500 companies;
• analyze and visualize data;
• build the most advanced data science dashboards in the world;
• work in a place where you don’t have to stay after hours,

we are waiting for you!

Your skills:

• Experience in building good looking UI using JavaScript frameworks (e.g. React)
• Passion for data science and interest in learning R/Shiny framework
• Experience in creating data visualizations
• Git
• English B2/C1 level

What’s in it for you:

• Remote work
• B2B or permanent employment
• Continuity of projects
• Personal Development Budget
• Career Guideline
• 4 days per year to be used for training/conferences, events or workshops
• Frequent project changes and learning about a variety of industries
• Projects that have a real impact on the world. More on https://appsilon.com/ai-for-good/
• Company retreats
• Private health care
• Flat structure
• Flexible working hours

 What your work will look like:

• You’ll join a team of software engineers and data scientists;
• You’ll work really close to data and create dashboards;
• You’ll work in a team of 2-5 people on one or two projects at a time;
• You’ll work with companies from various industries;
• We work in an agile way (Scrum / Scrumban depending on the project);
• We encourage writing blogposts, preparing and giving public talks, working on internal projects, learning new skills, preparing a tech talk for the rest of the team — so you’ll be able to spend part of your time on that;
• We value delivered results over time spent in the office. Our work hours are flexible. Occasionally we need to stay a bit later than that, e.g. to meet with a US client.

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:

1. Sample R/Shiny dashboard (logistics): https://go.appsilon.com/logistics-app/
2. https://demo.appsilon.ai/apps/shiny-enterprise-demo/
3. https://demo.appsilon.ai/apps/destination_overview/
4. Analysis of damage after natural disasters based on satellite images: https://demo.appsilon.ai/apps/building_damage_assessment/

Technologies we use:

• R
• Shiny
• JavaScript
• Python
• Docker
• Ansible
• Git
• AWS
• HTML
• CSS/SAAS
• Tensorflow
• Plotly

FAQ:

Work hours: Flexible, but we try to be available between 10:00-16:00. Occasionally we need to stay a bit later than that, e.g. to meet with a US client.