Lonza
Data Scientist - Process Analytics & Data Intelligence Expert(m/w/x)
Vollzeitnur vor OrtBerufserfahren
Visp
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
LOLonza
Process Analytics & Operational Data Intelligence Expert(m/w/x)
Visp
VollzeitVor OrtBerufserfahren
Data Science
Nejo KI-Zusammenfassung
Building analytics-ready datasets from manufacturing operations for process improvement. Process analytics and operational data experience required. Relocation assistance provided.
Anforderungen
- Process analytics experience or strong exposure
- Operational analytics experience or strong exposure
- Manufacturing/process data experience or strong exposure
- Process improvement experience or strong exposure
- Industrial or operational data environments experience or strong exposure
- Practical SQL knowledge
- Practical Python knowledge
- Practical statistical analysis knowledge
- Practical dashboarding and visualization knowledge
- Practical data pipelines or ETL concepts knowledge
- Exposure to Seeq or equivalent analytics/data platforms
- Exposure to Statistica or equivalent analytics/data platforms
- Exposure to SIMCA or equivalent analytics/data platforms
- Exposure to Power BI or equivalent analytics/data platforms
- Exposure to PI System or equivalent analytics/data platforms
- Exposure to Azure or equivalent analytics/data platforms
- Exposure to Git or equivalent analytics/data platforms
- CDMO experience or understanding of mammalian manufacturing
- CDMO experience or understanding of process development
- CDMO experience or understanding of bioprocess operations
- Interest in process behavior and variability
- Interest in manufacturing operations
- Interest in operational intelligence
- Interest in GMP process support
- Interest in continuous improvement
- Interest in digital transformation
Aufgaben
- Build analytics-ready datasets
- Integrate operational data from various systems
- Contextualize and structure manufacturing data
- Collaborate with manufacturing and process teams
- Understand data generation and interpretation
- Analyze process trends and variability
- Identify performance drivers and bottlenecks
- Develop operational dashboards
- Create analytical views
- Design process intelligence solutions
- Translate datasets into actionable insights
- Support process robustness and performance
- Simplify and standardize data workflows
- Automate and improve data processes
- Enhance operational data quality
- Improve data traceability and usability
- Support GMP deliverables and reporting
- Collaborate with MSAT, QA, and IT teams
- Deliver scalable data solutions
- Ensure production-ready analytics
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Python
- Seeq
- Statistica
- SIMCA
- Power BI
- PI System
- Azure
- Git
Benefits
Sonstige Vorteile
- Relocation assistance
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Lonza erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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LOLonza
Process Analytics & Operational Data Intelligence Expert(m/w/x)
Visp
VollzeitVor OrtBerufserfahren
Data Science
Nejo KI-Zusammenfassung
Building analytics-ready datasets from manufacturing operations for process improvement. Process analytics and operational data experience required. Relocation assistance provided.
Anforderungen
- Process analytics experience or strong exposure
- Operational analytics experience or strong exposure
- Manufacturing/process data experience or strong exposure
- Process improvement experience or strong exposure
- Industrial or operational data environments experience or strong exposure
- Practical SQL knowledge
- Practical Python knowledge
- Practical statistical analysis knowledge
- Practical dashboarding and visualization knowledge
- Practical data pipelines or ETL concepts knowledge
- Exposure to Seeq or equivalent analytics/data platforms
- Exposure to Statistica or equivalent analytics/data platforms
- Exposure to SIMCA or equivalent analytics/data platforms
- Exposure to Power BI or equivalent analytics/data platforms
- Exposure to PI System or equivalent analytics/data platforms
- Exposure to Azure or equivalent analytics/data platforms
- Exposure to Git or equivalent analytics/data platforms
- CDMO experience or understanding of mammalian manufacturing
- CDMO experience or understanding of process development
- CDMO experience or understanding of bioprocess operations
- Interest in process behavior and variability
- Interest in manufacturing operations
- Interest in operational intelligence
- Interest in GMP process support
- Interest in continuous improvement
- Interest in digital transformation
Aufgaben
- Build analytics-ready datasets
- Integrate operational data from various systems
- Contextualize and structure manufacturing data
- Collaborate with manufacturing and process teams
- Understand data generation and interpretation
- Analyze process trends and variability
- Identify performance drivers and bottlenecks
- Develop operational dashboards
- Create analytical views
- Design process intelligence solutions
- Translate datasets into actionable insights
- Support process robustness and performance
- Simplify and standardize data workflows
- Automate and improve data processes
- Enhance operational data quality
- Improve data traceability and usability
- Support GMP deliverables and reporting
- Collaborate with MSAT, QA, and IT teams
- Deliver scalable data solutions
- Ensure production-ready analytics
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Python
- Seeq
- Statistica
- SIMCA
- Power BI
- PI System
- Azure
- Git
Benefits
Sonstige Vorteile
- Relocation assistance
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Lonza erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Lonza
Branche
Pharmaceuticals
Beschreibung
Lonza is a global leader in life sciences, committed to improving lives through innovative solutions and ethical practices.
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