Head of Digital Automation & Data Science – Fragrance

Givaudan; Kemptthal; Sur place; CHF 200 000 - 300 000; Plein temps

Avantages offerts par ce poste

40 hour working week

Additional paid days off

Favourable pension fund contributions

Subsidized meals in staff restaurant

Sport and leisure club on site

Discounts at company shop

Worldwide private accident coverage

Free choice of hospital

Résumé du poste

Givaudan in Kemptthal seeks a Head of DADS to lead digitalisation, automation and data science initiatives within Fragrance S&T. You will design data pipelines, deploy predictive models and integrate AI tools to accelerate research and decision-making across the IT landscape.

Collaborating with scientists and IT, you will translate complex data into scalable solutions, mentor teams, and ensure deployment to production while improving data governance and workflow efficiency.

Qualifications

• Degree (MSc, PhD) in a Life Science discipline (Chemistry, Chemoinformatic, Biology)
• 10+ years of experience in a research informatics environment
• Strong experience in software development and machine learning with Python, plus system architecture, SQL/database design, and API integration

Responsabilités

• Lead the digital transformation and evolution at Givaudan in Fragrance S&T
• Lead digitalisation, automation and data science projects with scientists and IT
• Integrate AI tools like LLMs and predictive models into applications to accelerate research and decision-making
• Align with corporate IT to deploy solutions to production
• Design data pipelines to capture, analyse and visualise data across diverse research activities
• Provide guidance and training to scientists for data analysis and visualization

Formation

MSc/PhD in Life Science

Outils

Python

SQL

Linux

Description du poste

Givaudan in Kemptthal seeks a Head of DADS to lead digitalisation, automation and data science initiatives within Fragrance S&T. You will design data pipelines, deploy predictive models and integrate AI tools to accelerate research and decision-making across the IT landscape.

Collaborating with scientists and IT, you will translate complex data into scalable solutions, mentor teams, and ensure deployment to production while improving data governance and workflow efficiency.