Are you a passionate Data Scientist who has already work in a production environment? Are you willing to work closely with Data Engineers and Machine Learning Engineers?
Finally, are you willing to work in Antwerp, Belgium?
Then, this might be a great opportunity for you to develop yourself in a competitive company!
Let’s get into the details!
Overview of the company
Our client is specialized in the IoT, data science and insights. They help companies to understand behavior of their customer via a digital solution powering the IoT.
As a Data Scientist, your task will be to optimize and deploy training and inference pipelines for predictions of low events/concepts (type of transports, home/work location) and human behavior (commuting, sporting, shopping) using the last Machine learning methods.
- You will have to work with the Data Engineering team to create and improve tools of machine learning pipelines.
- With your software development skills, you will be a team worker willing to improve the current methods and models, both from performance and architecture point of views.
- You will be using the Big Data (GPS fixes and sensors) from hundreds of thousands of users and bring all of your knowledge to put these models into a production environment.
- You can work both independently and with a team
- You have interpretation skills using quantitative analysis and tooling
- You have a master degree or PhD in computer science or a related field
- You have experience in software engineering and deployment production
- You have strong skills in Python and/or Java
- You have a deep understanding of the Machine Learning fields and control the main concepts (e.g: Cross-Validation)
- You know how to use Big Data
- You have knowledge in Kafka
- You have got knowledge in Mobile environment
- You have a Data engineering expertise
- You have experience in processing of sensor data from mobile devices or wearables
- A competitive salary
- A great and stimulating work environment
- A great employee package (including meal coupons, fresh fruit, health insurance and many more)