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Open nowPosted 2 days ago

Data Scientist (m/w) 80-100%

myitjob GmbH

Where
Zürich, ZH, Switzerland
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Your applicationOpen nowData Scientist (m/w) 80-100%myitjob GmbH · Zürich, ZH, Switzerland

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on myitjob GmbH's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.6% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 13.6%7 days
  4. 21.9%14 days
  5. 36.9%30 days
  6. 59.0%60 days
This job: posted 2 days ago

The posting

Job Informationen ######

Arbeitsort: Hinwil (hybrid) Pensum: 80-100% Aufgaben: Im Team Research Digital Applications erforschst du, wie Daten, Machine Learning und Cloud-Technologien messbaren Mehrwert für Kunden im HVAC-Umfeld schaffen. - Entwicklung datengetriebener Lösungen für reale Kundenherausforderungen in HVAC-Anwendungen - Analyse grosser Betriebs-, Geräte- und Applikationsdaten zur Gewinnung umsetzbarer Erkenntnisse - Design, Entwicklung und Evaluation von Machine-Learning-Modellen und Data-Analytics-Lösungen - Aufbau und Pflege skalierbarer Datenpipelines und Datenprodukte - Zusammenarbeit mit Software Engineers, HVAC-Applikationsexperten und Produktteams, um Ideen aus der Forschung in praktische Lösungen zu überführen - Identifikation von Verbesserungspotenzial bei Inbetriebnahme, Betrieb, Diagnose, Wartung und Energieeffizienz - Evaluation neuer Technologien und Methoden in Data Science, Machine Learning und Cloud-Plattformen - Prototyping, Validierung und Demonstration neuer Konzepte Profil: - Master oder PhD in Data Science, Informatik, Statistik, Ingenieurwesen, Mathematik oder verwandtem Gebiet - Fundierter Hintergrund in Data Science, Machine Learning und statistischer Analyse - Erfahrung mit Data-Engineering-Konzepten, Datenpipelines und modernen Datenplattformen - Sehr gute Python-Kenntnisse inkl. gängiger Data-Science-Libraries und Frameworks - Erfahrung mit Cloud-Datenplattformen; Azure, Databricks, Spark o.ä. von grossem Vorteil - Verständnis von MLOps, Model Deployment und produktiven Daten-Workflows von Vorteil - Selbständige Arbeitsweise, Ideen vom Konzept bis zum Prototyp vorantreiben - Verhandlungssicheres Englisch in Wort und Schrift Geboten werden eine faire und kompetitive Entlöhnung, ein umfassendes Benefits-Paket für Gesundheit, finanzielles Wohlergehen und langfristigen Erfolg, hybrides Arbeiten sowie eine Kultur von Respekt, Vertrauen und bereichsübergreifender Unterstützung bei einem weltweiten Marktführer.

Benötigte Skills ######

  • Englisch
  • Azure
  • Mathematik
  • CLOUD
  • Python
  • Machine Learning
  • Master

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