Data Scientist

You will be part of new team working on R&D project related to IoT in water networks.

We build INFRAPORT which is a data-driven SaaS platform for water utilities worldwide. Our solutions help reduce water loss through leak detection and measurement technologies, combining IoT data, geospatial systems (maps), and advanced analytics.

You will work on complex, data-heavy systems that support real-world infrastructure decisions - including dashboards, monitoring tools, and map-based interfaces.

We work collaboratively - sharing ownership, challenging ideas, and building solutions as a team on daily basis.

• 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
• Developing on Linux
• Experience in Python, R or Golang
• Experience in data engineering
• Experience in applying Machine Learning in production environment
• Leading projects end-to-end
• Ability to work in an interdisciplinary and agile environment
• Fluent in English both written and spoken

• Designing & implementing new machine-learning models to solve problems in predictive analytics and recommendation systems
• Working on the algorithms from the idea stage all through to the deployment on 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