Job
- Level
- Erfahren
- Job Feld
- BI, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Premstätten
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du AI-Modelle, extrahierst Daten aus Legacy-Systemen und integrierst Lösungen in Produktionssysteme, während du die Datenqualität sicherstellst und Innovationen im Produktionsumfeld vorantreibst.
Job Technologien
Deine Rolle im Team
- The CSA division supplies sensors that bridge the gap between the world we live in and the digital world of machines.
- By converting physical signals - heartbeats, sounds, light waves - into data, we enable robots, cars and other devices to interact with people and improve our world.
- What drives CSA is a relentless desire to contribute to technology and have a meaningful impact on the world.
- This business thrives on solving complex problems and partnering with global leaders at the forefront of technological advancement.
- Our goal: to push the boundaries of sensor technology and empower innovators to make the world smarter, healthier and happier.
- Standardization of data quality, interfaces, documentation, and governance.
- Data extraction from legacy systems (Oracle/SQL; development & support of extractors).
- Integration / deployment of AI models into production-adjacent systems (edge/server, FDC/MES/R2R/SPC), including monitoring and drift management.
- IT / OT stakeholder management and coordination (manufacturing, engineering, A&D, AI key users, facility, etc.).
- Technical support for analysis, exploration, and implementation of new AI use cases.
- Support from proof-of-concept to series-ready solutions, including scaling successful use cases across multiple sites.
Unsere Erwartungen an dich
Ausbildung
- Completed university degree in Computer Science, Mathematics, Physics, or an equivalent scientific/technical field.
Qualifikationen
- Solid knowledge of statistics and data-driven root-cause analysis (e.g., correlation, regression models, hypothesis testing), as well as skills in data engineering and MLOps (SQL, Git, Docker, CI/CD, model monitoring).
- Excellent communication and coordination skills combined with strong analytical and problem-solving abilities.
- Fluent German and English skills.
Erfahrung
- First professional experience in Data Science / Machine Learning / Traditional AI in a manufacturing environment.
- Project experience in AI and data-science environments, as well as experience with manufacturing processes and industrial analytics.
- Experience in computer vision and/or time-series analysis (e.g., FDC, anomaly detection, predictive maintenance, process control).
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Mehr Netto
Essen & Trinken
Job Standorte
Themen mit denen du dich im Job beschäftigst
Das ist dein Arbeitgeber
ams AG
Unsere Sensorsolutions nehmen das Messen auf eine neue Ebene, indem sie eine fließende Schnittstelle zwischen Menschen und Technologie schaffen. Wir ermöglichen unseren Kunden Produkte mit hocheinzigartigen Eigenschaften zu erschaffen – Produkte, die smarter, sicherer, leichter bedienbar und ökologischer sind.
Description
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Elektronik, Automatisation, Handel, Internet, IT, Telekom
AI Data Scientist - Automation & Digitalization
- Ort
- Premstätten
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
