Offer summary
Qualifications:
Bachelor's degree in engineering, 3+ years experience in data analytics.Key responsabilities:
- Write and review high-quality code
- Collaborate with Data Science team for roadmap
Foodles, it's the canteen but better: simpler, more generous, and more convivial! Thanks to our proprietary connected fridge technology, we provide our customers with fresh, seasonal meals at affordable prices. We automatically detect the dishes that are taken from the fridges and charge the guests accordingly. We are a leader in our market in Europe with nearly a thousand clients throughout France and a presence in the United Kingdom.
Your mission :
Your team's mission is to ensure every customer receives the correct meal by deploying and integrating advanced algorithms developed by the Data Science & Analytics team. You focus on developing robust and efficient supporting code that facilitates seamless operation of these algorithms in production environments. In collaboration with the Demand Planning team, you also create user-friendly tools that enhance operational efficiency and user experience.
To achieve this mission, your team undertakes the following key activities:
Among this team you focus mainly on the last mission: creating state of the art models which makes the analysts jobs a breeze. You provide clean and well documented models based on which everybody can make shared analysis. You apply software engineering best practice to your code to make it easy to work on for everybody. You train business users on how the models should be used and advice them when starting a new analysis project.
Your future work environment:
The team’s composition will be the following:
The tools that you’ll use on a daily basis are:
If you want to have a more precise understanding of our stack you can have a look at those slides : https://docs.google.com/presentation/d/1G_n8vE8D7tiTeb9Q-dTK_qlwSOZmqRcX5mYRjj2-Drg/edit?pli=1#slide=id.p
We use the shape up methodology to make sure we invest the right amount of time in each of our development. Our cycles span over six weeks and are followed by a two week cooldown period during which we focus on the technical roadmap.
Your responsibilities
Ideal Candidate Profile:
You are the Analytics engineer we need if you recognize yourself in the following profile:
It's a plus if:
Recruitment Process:
IU International University of Applied Sciences
GROPYUS
TechnicAtome
Abbott
Sopra HR Software