Data Scientist

You will be part of a new team working on an R&D project related to IoT in water networks. The company builds INFRAPORT, a data-driven SaaS platform for water utilities worldwide that helps reduce water loss through leak detection and measurement technologies, combining IoT data, geospatial systems (maps), and advanced analytics. The work involves complex, data-heavy systems supporting real-world infrastructure decisions, including dashboards, monitoring tools, and map-based interfaces.

• Educational preparation or applied experience in at least one of the following areas: Machine Learning, Digital Signal Processing, Statistics, Applied Mathematics, Computer Science, or Physics
• Experience with GIT
• Experience developing on Linux
• Experience in Python, R, or Golang
• Experience in data engineering
• Experience applying Machine Learning in a production environment
• Experience leading projects end-to-end
• Ability to work in an interdisciplinary and agile environment
• Fluent in English, both written and spoken

• Designing and implementing new machine-learning models to solve problems in predictive analytics and recommendation systems
• Working on algorithms from the idea stage through to deployment in production
• Maintaining and developing existing algorithms
• Implementing complex, large-scale big data projects focusing on collecting, managing, analysing, and visualising large datasets
• Writing scalable, robust, testable, efficient, and easily maintainable code
• Performing ad-hoc data analyses to answer business questions