Job
- Level
- Senior
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Marburg
- Working Model
- Onsite
Job Summary
In this role, you will develop scalable data platforms using Databricks and AWS, conduct data analytics, and design AI applications to optimize TechOps processes.
Job Technologies
Your role in the 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.
- Leads the 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.
- Leiten Sie komplexe bereichsübergreifende Projekte von der Konzeption bis zur Produktionseinführung.
- Drive standardization and reuse of analytics assets and frameworks.
- Mentor Data Scientists, Data Engineers and Analytics Developers.
- Conduct technical reviews and promote engineering excellence.
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Our expectations of you
Education
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Data Analytics or related discipline.
Qualifications
- Strong proficiency in Python and SQL.
- Understanding of data governance, security and architecture principles.
Experience
- Advanced experience with Databricks and cloud analytics platforms.
- Umfangreiche Erfahrung in der Gestaltung skalierbarer Datenpipelines und Plattformen.
- 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.
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Topics You Will Work On
Job Locations
About Your Employer
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
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
Principal Data Scientist
- Location
- Marburg
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
