Data Scientist / ML Engineer — Water Infrastructure
We build ML systems that help water utilities and infrastructure operators predict and prevent failures — sewer overflows, flood risk, infrastructure breakdowns. Real-world impact, real sensor data, real consequences when the model gets it wrong. Small, distributed team across Poland and Canada.
- Strong data science fundamentals (modeling, validation, interpretation) and solid data engineering skills (pipelines, APIs, data quality)
- Python — must have
- Comfortable with ambiguous, messy real-world data
- Nice to have: Go, TypeScript
- Bonus: experience in water/utilities, environmental, or industrial IoT domains
- Bonus: time-series, anomaly detection