Data Science Lead

Givaudan Schweiz AG; Kemptthal; Vor Ort; CHF 150.000 - 230.000; Vollzeit

Benefits dieser Stelle

Bonus Payment

Career development

Pension support

Home office

Medical insurance

Zusammenfassung

Givaudan Schweiz AG in Kemptthal is seeking a Data Science Lead to oversee AI initiatives within Science & Technology. You will guide data scientists and engineers to build robust models and data analyses that inform decision making across chemistry-related programs.

The role requires 5+ years in data science, leadership experience, and strong interdisciplinary collaboration. Fluency in French and/or German is a plus, with a 100% on-site workload in 8310 Kemptthal (ZH).

Qualifikationen

• PhD or Master’s in chemistry, data science, computer science, statistics, mathematics, or related field.
• 5+ years in data science or analytics within R&D environments.
• 3+ years in a leadership or managerial role.
• Fluency in French and/or German is an advantage.

Aufgaben

• Lead the execution and delivery of data science projects across science and technology initiatives.
• Guide design of advanced statistical models, ML algorithms, and data mining for chemistry-related work.
• Oversee scientific data analysis and interpretation across experimental datasets.
• Monitor performance using KPIs and ensure regulatory and methodological standards.
• Contribute to data governance, quality, integrity and compliance.
• Collaborate with S&T scientists and business stakeholders to integrate AI into workflows.

Kenntnisse

Leadership

Analytical thinking

Communication

Cross-disciplinary collaboration

Ausbildung

PhD or Master's in Chemistry/Data Science/CS/Statistics/Math

Tools

Python

R

SQL

Jobbeschreibung

Data Science Lead

Givaudan Schweiz AG Vacant since : 04.09.2026 Number of jobs : 1 8310 Kemptthal (ZH) 100% Immediately Permanent

Join us and celebrate the beauty of human experience. Create for happier, healthier lives, with love for nature. Together, with kindness and humility, we deliver food innovations, craft inspired fragrances and develop beauty and wellbeing solutions that make people look and feel good. There’s much to learn and many to learn from, with more than 17,000 employees around the world to explore ideas and ambitions with. Dive into varied, flexible, and stimulating environments. Meet empowered professionals to partner with, befriend, and stretch your skills alongside. Every day, your energy, your creativity, and your determination will shape our future, making a positive difference on billions of people. Every essence of you enriches our world. We are Givaudan. Human by nature.

Your purpose

Lead Data Science & AI initiatives in Science and Technology (S&T) scope, by combining advanced data science leadership with deep scientific domain understanding

Provide guidance and support to Data Scientists and AI Engineer in the design and development of complex data models, algorithms, and scientific data analysis approaches that enhance decision-making and business outcomes

In charge of the planning and iterative delivery of Data Science & AI solutions to deliver robust and actionable products for Science and Technology

Contribute to the definition and improvement of Data Science & AI methodologies, including scientific modeling and experimental data interpretation frameworks.

Your core responsibilities

Project Management

Lead the execution and delivery of data science projects, including scientific and chemistry-related initiatives (e.g., research and discovery, analytical chemistry, innovation & knowledge management, …)

Ensure delivery meets quality, regulatory, and methodology standards, including traceability and reproducibility of scientific results

Model Development

Guide the design and implementation of advanced statistical models, machine learning algorithms, and data mining techniques to scientific and chemistry related initiatives including chemical processes and formulations as well as experimental and laboratory data.

Integrate domain knowledge (chemistry or related fields) into Data Science and AI modeling approaches

Explore and apply knowledge of existing and emerging data science principles, theories, and techniques on model development and evaluation

Scientific Data Analysis & Interpretation

Oversee the analysis of experimental, laboratory and process data (e.g., spectroscopy, chromatography, reaction data)

Ensure sound scientific interpretation of model outputs, aligned with chemical principles and industrial constraints

Support teams in translating scientific hypotheses into testable data science solutions

Performance Monitoring

Monitors and evaluates the performance of data science initiatives, using metrics and KPIs to assess impact and identify areas for improvement

Data Governance

In compliance with global enterprise data governance standards, contributes to the implementation of data governance practices, ensuring data quality, integrity, and compliance across science and technology datasets

Ensures adherence to regulatory and industry standards (e.g., traceability, auditability, GxP when applicable)

Cross-Functional Collaboration

Works closely with S&T scientists and business stakeholders to identify AI and data science needs, integrate AI and Data science into R&D and industrial workflows, enable data-driven scientific decision‑making solutions, and support data-driven decision‑making

Acts as a bridge between Data Science and Science & Technology experts

Your profile

Academic Background

PhD or master's degree in chemistry, Data Science, Computer Science, Statistics, Mathematics, or a related field

Professional Experience

5+ years of experience in data science or analytics

Experience in scientific, laboratory, or industrial R&D environments

3+ years in a leadership or managerial role

Strong interdisciplinary background combining data science and scientific expertise is highly preferred.

Fluency in French and/or German is an advantage.

Technical Skills

Domain knowledge: Chemistry, Chemical Engineering, Pharmaceutical or related scientific discipline

Technical Expertise: Proficiency in data science tools and programming languages (e.g., Python, R, SQL) and experience with machine learning frameworks. Familiarity with chemical data formats and modeling approaches (e.g., molecular descriptors, reaction modeling)

Strong understanding of statistical methods, data analysis techniques, and machine learning algorithms.

Strong verbal and written communication skills, with the ability to present complex data insights to non-technical stakeholders.

Strong analytical and critical thinking skills, with a focus on solving complex business challenges through data.

Our benefits

• Bonus Payment
• Career development
• Pension support
• Home office
• Medical insurance

At Givaudan, you contribute to delightful taste and scent experiences that touch people’s lives.

We value the different perspectives that come from diverse cultures, backgrounds, and experiences.

Everyone — regardless of race, gender identity, sexual orientation, age, disability, culture, religion, or any personal circumstances — is warmly welcomed at Givaudan, a place where we all love to be and grow.

Every essence of you enriches our world. Join us in making a difference together.

• Work location 8310 Kemptthal (ZH)
• Workload 100%
• Employment start Immediately
• Employment duration Permanent

• Qualification skilled
• Work experience More than 3 years
• Education Bachelor’s degree from a university of applied sciences or equivalent

• English Orally : Very good knowledge Written : None

• By online Online form