APERIO is looking to solve the problem of validating industrial sensor data at scale, turning large volumes of dirty, unreliable data into usable, trustworthy data to unlock the Industry 4.0 revolution and help customers drive profitability and sustainability goals while mitigating risk in their industrial operations.
Requirements
- Good working knowledge of Python data science tools and libraries
- Experience in Machine Learning is an advantage
- A minimum of 3 years of experience designing and delivering data handling algorithms
Responsibilities
- Own the algorithm life-Sycle, from understanding the need, research up to implementation
- Work with substantial amounts of Data coming from our industrial clients and use your knowledge and expertise to improve and expand Aperio’s product to ensure more reliable and trustworthy data
- Work on our patented technology, while creating additional intellectual property applications
Other
- A MSc in math/statistics/computer science, or equivalent
- A team player spirit, be curious and delivery-oriented
- Ability to think like owners, and innovate like entrepreneurs
