Hydrology Data Scientist

About the role

Riverkin, a VC‑backed Swiss startup, is tackling flash‑flood risk with real‑time sensing and data infrastructure. We are looking for a Hydrology Data Scientist to design and launch the first machine‑learning model that can predict flash floods at the local scale.

Key responsibilities

• Define, build, and deploy the first flash‑flood ML model using proprietary sensor data and public sources.
• Implement models, manage large data sets, and monitor performance.
• Collaborate with software engineers to embed models into a scalable product.
• Architect the modelling pipeline, selecting models, sensors, and overall architecture.
• Translate client and business needs into a technical roadmap and keep abreast of nowcasting advances.
• Represent the team in field sensor installations and customer presentations.
• Provide structure to ambiguous problems and drive execution.

Required profile

• Passionate about solving flash‑flood challenges at the local level.
• Founder‑mindset: eager to act as an early‑stage team member and take ownership.
• Hands‑on, able to turn messy inputs into clear technical direction.
• Strong communicator with excellent written and verbal skills.

Required skills

• Experience applying ML tools (e.g., LSTM) to hydrological problems such as flooding.
• Experience in bias correction of weather radar data.
• MSc or PhD in hydrology, water‑resources management, atmospheric sciences, or equivalent.
• Experience with real‑world data systems (gauges, GIS, satellite imagery, etc.).

What we offer

• Full‑time (100% FTE) position with compensation commensurate with experience plus equity.
• Key early‑hire role with the opportunity to build and lead the flash‑flood modelling function.
• Hybrid work arrangement: 4 days per week onsite in our Zurich office.