20 beste Stellen als data science in zürich, zh – aktuell auf Personalsuche

Hydrology Data Scientist
Riverkin —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Doktorat
- Master
- Homeoffice-Möglichkeit
- Eltern-/Erziehungsurlaub
Direkt bewerben
Student Assistant in Macroeconomic Forecasting and Data Science
ETH Zürich —Zürich, ZH
- Teilzeit
- Forschungserfahrung
- Python
Applied Scientist
Thomson Reuters —Zug, ZG
- 100%
- Doktorat
- Master
- AWS
- Homeoffice-Möglichkeit
Clinical Trial Liaison
Kiniksa Pharmaceuticals —Zug, ZG
- Englisch
- Microsoft Office
- Projektmanagement
Direkt bewerben
Data Engineering Intern
Jua —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Master
- SQL
- AWS
AI & Data Engineer (Intern)
Focuslight —Zürich, ZH
- Management-Erfahrung
- Englisch
- Datenbanken
Senior Data Scientist, GeminiApp, DeepMind
DeepMind —Zürich, ZH
- CHF 232’000 - CHF 253’000 pro Jahr
- 100%
- Datenanalyse
- Master
9 Tage
Database / Data Warehouse Engineer 80-100% (m/w)
Kinderspital Zürich —Zürich, ZH
- Englisch
- SQL
- Python
Principal Delivery Consultant- Technical Lead GenAI/ML & Data Science, Professional Services, AWS Industries
AWS EMEA SARL (Switzerland Branch) - G96 —Zürich, ZH
- 100%
- Datenbanken
- AWS
- Bachelor
AIML - Research Scientist, Health
Apple —Zürich, ZH
- Forschungserfahrung
- Master
- Analysefähigkeit
Data Manager
ETH Zürich —Zürich, ZH
- Teilzeit
- Laborerfahrung
- Englisch
- Forschungserfahrung
Head, Process Data
Takeda Pharmaceutical —Zürich, ZH
- CHF 177’400 - CHF 243’980 pro Jahr
- 100%
- Doktorat
- Master
- SQL
Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company —Zürich, ZH
- Doktorat
- Englisch
- Master
Staff Data Scientist - Supply Chain Optimisation
On AG —Zürich, ZH
- Doktorat
- Master
- SQL
Scientific Communications Manager
Nobel Biocare —Kloten, ZH
- CHF 98’200 - CHF 152’200 pro Jahr
- Management-Erfahrung
- Doktorat
- Schreibfähigkeiten
- Bezahlte Feiertage
- Bezahlte Ferien
8 Tage
IT Graduate Programme
Glencore —Zug, ZG
- 100%
- Master
- SPS-Steuerung
- Bachelor
- Kostenloser Parkplatz
- Eltern-/Erziehungsurlaub
Data Scientist/ML Engineer im Team Economic Data Science
Schweizerische Nationalbank —Zürich, ZH
- Teilzeit
- Doktorat
- Englisch
- Master
2 Tage
Strategy and Transformation Consultant - Life Science
Capgemini Sogeti —Zürich, ZH
- Microsoft Powerpoint
- Microsoft Excel
- Doktorat
- Empfehlungsprogramm
Director, Statistical Programming
CSL Behring —Glattbrugg, ZH
- CHF 239’000 - CHF 308’000 pro Jahr
- 100%
- Management-Erfahrung
- Wartung
- Englisch
Bioinformatician (m/f) 80-100%
Kinderspital Zürich —Zürich, ZH
- Management-Erfahrung
- Doktorat
- Datenanalyse
9 Tage

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Hydrology Data Scientist

Riverkin
Zürich, ZH

Direkt bewerben

Details zur Stelle

Festanstellung | 100%

Leistungen

Homeoffice-Möglichkeit
Eltern-/Erziehungsurlaub
Weiterbildungsprogramme
Erfolgsbeteiligungsplan

Qualifikationen

Doktorat
Master

Vollständige Stellenbeschreibung

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 those needs and technical feasibility.
You keep track of new developments in nowcasting and flood forecasting tools and techniques and own an ambitious technical vision.
You find the balance between scalable and pragmatic solutions, serving customers from day 1 while working towards a long term strategy.

Represent the team on all fronts

You're comfortable doing a sensor install on a Tuesday and a customer pitch on a Wednesday.
You are supportive within the team, while standing up for what you believe is best for the customer or company strategy.
You are an opinionated contributor to key strategic decisions in the company.

Create Clarity and Momentum

Bring structure to ambiguous problems and drive them to execution.
Make decisions and move forward without waiting for perfect information.

Who You Are

You're excited to solve flash flooding at the local scale
You want to build a company and you're hungry to act like a founder from day one
You want to have skin in the game
You enjoy being a hands-on
Can take messy inputs and turn them into clear technical direction
Can move fast, but with enough structure to avoid future pain
Care deeply about building something that actually works in the real world
An excellent communicator, with strong written and verbal skills

Technical Requirements

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

Nice to Have

Previous founder or early startup experience

Role Details

Commitment: 100% FTE.
Compensation: Commensurate with experience + equity
Growth: this is a key early hire with the opportunity to build and lead Riverkin’s flash-flood modelling function.
Location: 4 days per week in Zurich office

About Riverkin

We are a well-capitalized Swiss startup building real-time sensing and data infrastructure for rivers. Our own field-deployed sensors collect live water-level and sediment data, while our platform turns that data into decision-ready insights for customers. We work across two core use cases: hydropower, where better sediment data can support flushing, asset protection and compliance; and flash-flood risk, where local river data can help first responders and municipalities understand what is happening before conditions become critical. We are a small, hands-on team working across hydrology, hardware, field engineering, software and market development.

Benefits:

Long-term profit-sharing plan
Parental leave
Professional development assistance
Work from home

Work Location: Hybrid remote in 8049 Zürich, ZH

Direkt bewerben

Erweiterte Suche

data science Jobs in zürich, zh

Hydrology Data Scientist

Student Assistant in Macroeconomic Forecasting and Data Science

Applied Scientist

Clinical Trial Liaison

Data Engineering Intern

AI & Data Engineer (Intern)

Senior Data Scientist, GeminiApp, DeepMind

Database / Data Warehouse Engineer 80-100% (m/w)

Principal Delivery Consultant- Technical Lead GenAI/ML & Data Science, Professional Services, AWS Industries

AIML - Research Scientist, Health

Data Manager

Head, Process Data

Data Scientist - QuantumBlack, AI by McKinsey

Staff Data Scientist - Supply Chain Optimisation

Scientific Communications Manager

IT Graduate Programme

Data Scientist/ML Engineer im Team Economic Data Science

Strategy and Transformation Consultant - Life Science

Director, Statistical Programming

Bioinformatician (m/f) 80-100%

Ich möchte aktuelle Job-E-Mails für Stellen als data science in zürich, zh erhalten

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