Data Scientist
⚲ Kraków
20 000 - 25 000 PLN (B2B)
Wymagania
- Machine Learning
- Git
- Linux
- Python
- Golang
- SQL
Opis stanowiska
O projekcie:
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.
Wymagania:
- 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
- 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
Codzienne zadania:
- 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
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.
Wymagania:
- 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
- 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
Codzienne zadania:
- 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
🔍 Dekoder Ogłoszenia
🔴
You will be part of new team working on R&D project related to IoT in water networks.
Projekt jest na wczesnym etapie rozwoju, co może oznaczać niepewność co do kierunku i stabilności.
🟡
We build INFRAPORT which is a data-driven SaaS platform for water utilities worldwide.
Praca nad platformą SaaS dla klientów zagranicznych, co może wiązać się z różnymi wymaganiami i standardami.
🔴
You will work on complex, data-heavy systems that support real-world infrastructure decisions
Systemy mogą być trudne w utrzymaniu i rozwoju, a decyzje oparte na danych mogą mieć realne konsekwencje.
🔴
Leading projects end-to-end
Oczekuje się samodzielności i odpowiedzialności za cały cykl życia projektu, co może oznaczać dużą presję.
🟡
Implementing complex, large-scale big data projects focus
Może oznaczać pracę z bardzo dużymi zbiorami danych, co wymaga specyficznych umiejętności i narzędzi.