About Us
Symrise is a global supplier of fragrances and flavors, cosmetic active ingredients as well as functional ingredients. Its customers include perfume, cosmetics, food and beverage manufacturers, the pharmaceutical industry and producers of dietary supplements and pet food.
With sales of around €5.0 billion in the 2024 financial year, the company is one of the world’s leading providers. The Group, headquartered in Holzminden, Germany, has more than 100 locations in Europe, Africa and the Middle East, Asia, the USA and Latin America.
Together with its customers, Symrise develops new ideas and market-ready concepts for products that form an indispensable part of everyday life. Economic success and corporate responsibility are inextricably linked.
Symrise – always inspiring more…Your Role

As an Applied Data Scientist, you will drive smart product development and portfolio management by designing data-driven tools and solutions. Your responsibilities include:

• Implementing advanced machine learning techniques and data modeling.
• Leading customer projects and contributing to R&T’s digital strategy.
• Enhancing the digital platform PropheSY™ and supporting innovation initiatives.
• Aligning data science strategies with Group IT and advising on R&T requirements.
• Coordinating stakeholder needs and promoting best practices across teams.
• Supporting both cloud and on-premises solutions with scalable, efficient models.

About You

EDUCATION & EXPERIENCE

• Master’s degree in Computer Science, Mathematics, Physics, Chemistry, or related fields, or equivalent professional experience.
• Experience in data science within a research and technology environment.

TECHNICAL SKILLS

• Strong proficiency in Python and machine learning.
• Experience with Databricks , R, or KNIME.
• Basic knowledge of DevOps (Git, Docker, Bash).
• Familiarity with ModelOps tools (e.g., MLFlow) is a plus.

ADDITIONAL SKILLS

• Project management experience is a plus.
• Open to new technologies and ideas.
• Strong communication and cross-functional collaboration skills.

PREFERRED INDUSTRY EXPERIENCE

• Background in the flavor or food industry is a strong advantage.
  Our Offer
  Become part of our open and transparent culture. It will give you the opportunity to flourish and to develop inspiring experiences that contribute to the health and well-being of consumers in 160 countries around the world. Putting our employees in the focus fuels our strong company growth above market rates and makes us an excellent place to develop your career.

• Implementing advanced machine learning techniques and data modeling.
• Leading customer projects and contributing to R&T’s digital strategy.
• Enhancing the digital platform PropheSY™ and supporting innovation initiatives.
• Aligning data science strategies with Group IT and advising on R&T requirements.
• Coordinating stakeholder needs and promoting best practices across teams.
• Supporting both cloud and on-premises solutions with scalable, efficient models