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Riverkin

Riverkin is building the platform for freshwater data. Water drives most natural disasters, yet the data still barely exists or sits in silos. We deploy a global sensor network, aggregate fragmented sources, and turn those signals into model-ready datasets in real time. Think of it as an operating system for rivers, enabling better tools and, for the first time, the ability to predict flash floods. Already live with real deployments and paying customers. We’re turning water into a new data layer.
02/07/2026
Full time
Hydrology Data Scientist
Riverkin 8049 Zürich, ZH, Switzerland
About the Role Riverkin is a VC-backed Swiss startup looking for a star hydrologist to join the team. Flash floods threaten thousands of people and cause millions in damage each year but trustworthy alerts are not possible to come by. This is a real, under-served problem where today's forecasts break down, leaving first responders and municipalities exposed. What You'll Do Build the first flash flood ML model Define and build the first version of the flash flood ML model, using sensor data we deploy ourselves and public data sources. You implement models, manage big data sets and monitor performance. You work with software engineer(s) to embed models into a scalable piece of software. You are the architect and choose the models, the sensors, and the architecture as we go. Translate Business and Customer Needs into a Technical Roadmap You'll partner directly with the founders to pull detailed needs out of clients and find the sweet spot between...