Principal Data Scientist

CSL; Bern; Vor Ort; CHF 180.000 - 240.000; Vollzeit

Zusammenfassung

CSL Behring, a global biotherapeutics leader, seeks a Principal Data Scientist to drive advanced analytics, data engineering and AI across TechOps in Switzerland. You will shape data platforms, pipelines and enterprise apps, mentor teams and lead cross-functional analytics programs from concept to production.

You will leverage Databricks, cloud platforms, Python, SQL and Power BI to deliver scalable solutions, ensure data governance and security, and implement CI/CD practices while guiding

Qualifikationen

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Data Analytics or related discipline.
• 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.

Aufgaben

• Design and maintain scalable enterprise data platforms and data products.
• Architect robust data pipelines for ingestion, transformation and delivery of data.
• Lead the design and deployment of advanced analytics, ML and Generative AI solutions.
• Develop enterprise analytics applications using Python, React, Power BI and R Shiny.
• Define analytics roadmaps and drive cross-functional projects.
• Mentor Data Scientists, Data Engineers and Analytics Developers.

Kenntnisse

Databricks

Python

SQL

Data pipelines

APIs

Power BI

Generative AI

AI solutions

Data governance

Security

Cloud analytics

Data platforms

Ausbildung

CS/Engineering/IT degree

Tools

CI/CD

APIs development

Jobbeschreibung

Position Purpose

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.

Data Engineering & Platform Leadership

• 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.

Advanced Analytics, AI & Generative AI Solutions

• 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.

Application Development & Digital 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.

Technical Leadership & Strategy

• 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.

People Leadership & Capability Building

• Mentor Data Scientists, Data Engineers and Analytics Developers.
• Conduct technical reviews and promote engineering excellence.

Required Skills & Experience

• Advanced experience with Databricks and cloud analytics platforms.
• Strong proficiency in Python and SQL.
• 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.
• Understanding of data governance, security and architecture principles.

Qualifications, Skills & Experience

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Data Analytics or related discipline.
• 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.

About CSL Behring

CSL Behring is a global biotherapeutics leader driven by our promise to save lives. Focused on serving patients’ needs by using the latest technologies, we discover, develop and deliver innovative therapies for people living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. We use three strategic scientific platforms of plasma fractionation, recombinant protein technology, and cell and gene therapy to support continued innovation and continually refine ways in which products can address unmet medical needs and help patients lead full lives.

CSL Behring operates one of the world’s largest plasma collection networks, CSL Plasma. Our parent company, CSL, headquartered in Melbourne, Australia, employs 32,000 people, and delivers its lifesaving therapies to people in more than 100 countries.

To learn more about CSL, CSL Behring, CSL Seqirus and CSL Vifor visit https://www.csl.com/ and CSL Plasma at https://www.cslplasma.com/.

Our Benefits

For more information on CSL benefits visit How CSL Supports Your Well-being | CSL.

You Belong at CSL

At CSL, Inclusion and Belonging is at the core of our mission and who we are. It fuels our innovation day in and day out. By celebrating our differences and creating a culture of curiosity and empathy, we are able to better understand and connect with our patients and donors, foster strong relationships with our stakeholders, and sustain a diverse workforce that will move our company and industry into the future.

To learn more about inclusion and belonging visit https://www.csl.com/careers/inclusion-and-belonging

Equal Opportunity Employer

CSL is an Equal Opportunity Employer. If you are an individual with a disability and need a reasonable accommodation for any part of the application process, please visit https://www.csl.com/accessibility-statement.