Job
- Level
- Senior
- Job Feld
- Data, Application
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Marburg
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du skalierbare Datenplattformen mit Databricks und AWS, führst Datenanalysen durch und designst KI-Anwendungen zur Optimierung von TechOps-Prozessen.
Job Technologien
Deine Rolle im Team
- The Principal Data Scientist is responsible for driving advanced analytics, data engineering, application development and AI solutions across TechOps.
- This role provides technical leadership for strategic data initiatives that improve operational performance, enable digital manufacturing and support data-driven decision making.
- Design, build and maintain scalable enterprise data platforms and data products using Databricks, AWS and cloud-native technologies.
- Architect robust data pipelines for ingestion, transformation and delivery of structured and unstructured data.
- Establish data engineering standards, development frameworks and best practices across TechOps.
- Ensure data quality, integrity, security and governance requirements.
- Lead the design and deployment of advanced analytics, machine learning and Generative AI solutions supporting TechOps objectives.
- Develop AI-enabled applications using LLMs and RAG frameworks.
- Establish monitoring, governance and lifecycle management practices for AI solutions.
- Lead development of enterprise analytics applications using Python, React, Power BI and R Shiny.
- Design and develop APIs and integration services.
- Ensure modern engineering practices including testing and CI/CD.
- Define and execute TechOps analytics and digital solution roadmaps.
- Lead complex cross-functional projects from concept through production deployment.
- Drive standardisation and reuse of analytics assets and frameworks.
- Mentor Data Scientists, Data Engineers and Analytics Developers.
- Conduct technical reviews and promote engineering excellence.
Unsere Erwartungen an dich
Ausbildung
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Data Analytics or related discipline.
Qualifikationen
- Strong proficiency in Python and SQL.
- Understanding of data governance, security and architecture principles.
Erfahrung
- Advanced experience with Databricks and cloud analytics platforms.
- Extensive experience designing scalable data pipelines and platforms.
- Experience developing enterprise applications and APIs.
- Experience with Power BI.
- Experience delivering AI or Generative AI solutions in production.
- 7-10+ years experience in data analytics, data engineering, software development or digital solution delivery.
- Experience leading complex cross-functional analytics initiatives.
- Experience in manufacturing, biotechnology or regulated industries preferred.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
CSL Behring
CSL Behring ist ein weltweit führendes Unternehmen im Bereich der Biotherapeutika, das sich seinem Versprechen, Leben zu retten, verpflichtet hat. Wir entwickeln innovative Therapien zur Behandlung von Blutgerinnungsstörungen, primären Immunstörungen, hereditärem Angioödem, angeborenen Atemwegserkrankungen und neurologischen Erkrankungen, und stellen hierfür Produkte mittels modernsten Technologien her.
Description
- Unternehmensgröße
- 250+ Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Onsite
- Branche
- Pharma, Chemie, Biotech
Principal Data Scientist
- Ort
- Marburg
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
