Data Scientist

  • Lead the implementation of data science prototypes and projects, supporting digitalization initiatives.
  • Support the development of automatic data collection and experiments protocoling tools to streamline data analysis processes.
  • Assist in automating data analysis in laboratories and production plants, improving efficiency and accuracy.
  • Contribute to promoting a culture of digitalization, data science and automation in laboratory and production environments.
  • Work closely with chemical engineers, chemists, and other stakeholders to understand their data needs and provide analytical support. Visualize and communicate analytical findings to both technical and non-technical stakeholders.
  • Facilitate the integration of data science insights into the process development and decision-making workflows.

Company Description

As a world market leader in crop protection, we help farmers to counter the threats and ensure enough safe, nutritious, affordable food for all – while minimizing the use of land and other agricultural inputs.
Syngenta Crop Protection keeps plants safe from planting to harvesting.  From the moment a seed is planted through to harvest, crops need to be protected from weeds, insects, and diseases as well as droughts and floods, heat, and cold.
Syngenta Crop Protection is headquartered in Switzerland.

Qualifications

  • Master’s degree or PhD in (Chemical) Engineering, Computer Science, or Data Science, or a related field.
  • Proficiency in Python programming language, including experience with PyTorch, pandas.
  • Hands-on experience in data science projects demonstrated through GitHub repositories, blog posts, deployed applications, or other relevant work.
  • Knowledge of data storage and processing technologies, such as SQL databases and data lakes.
  • Experience in project management and the ability to work independently and collaboratively.
  • Excellent proficiency in English, with proficiency in German, French, or other languages as a plus.
  • Experience in chemistry or process engineering is a plus.
  • Experience of work with AWS is a plus.

Additional Information

Please send your complete application with CV and motivation letter and work certificates.

We offer a variety of financial and non-financial benefits including: 

  • We offer a position which contributes to valuable and impactful work in a stimulating and international environment  
  • A superb working environment with an open culture and diverse workforce where new ideas are always welcome 
  • The opportunity to work with and learn from highly qualified and experienced employees and gain scientific and technical excellence 
  • Learning culture (Together we Grow) and wide range of training options 
  • You will profit from a competitive pension fund plan, attractive bonus system, onsite doctor, fitness room, canteen, and other benefits (Family friendly initiatives, Child and Family allowance...) 

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. 

Unternehmen / Organisation: 
Syngenta AG
Region: 
Münchwilen
Berufsfeld: 
Support, Management, SQL
Erforderliche Kenntnisse: 
Management, SQL, Python