Data Scientist (m/f/d)

  • Syngenta AG
  • Basel, BS, Switzerland
  • 23/05/2022
Full time Data Science Data Engineering Data Analytics Big Data Data Management Statistics

Job Description

Syngenta Group is one of the world’s leading agriculture innovation companies, with roots going back more than 250 years. Its 48,000 people across more than 100 countries strive to transform agriculture through breakthrough products and technologies that play a vital role in enabling the food chain to feed the world safely, sustainably and with respect for our planet. Swiss headquartered and Chinese-owned, the Group draws strength from its four business units – Syngenta Crop Protection headquartered in Switzerland, Syngenta Seeds headquartered in the United States, ADAMA headquartered in Israel, and Syngenta Group China – that provide industry-leading ways to serve customers everywhere.

Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. We invite you to help us shape the future of agriculture. At Syngenta, we believe every employee has a role to play in safely feeding the world and taking care of our planet.

For this role, we are looking for a data scientist with a broad set of skills to help us transform the way we conduct agricultural science. If you are a passionate scientist with plenty of experience dealing with data in large quantities and from different sources, this job could be perfect for you. You would join a diverse and collaborative team, where your contribution is valued, and your development is a priority.

Data Scientist (m/f/d) - 18042264

Role Purpose:

  • Ownership of data exploration efforts, connecting different data sources and extracting additional value and insight from existing and future data (e.g. imagery- and sensor-derived data).
  • Direct contribution in data analysis and statistics, with ownership of data extraction, processing, analysis reporting and visualization.
  • Contribution to the digital transformation of Syngenta R&D, exploring new ways of working and new technologies, and innovating data capture and analysis methodologies.
  • Explore available methods in predictive analytics to create more business value from the available resources.
  • Work in close collaboration with customers from Global/Regions/Countries to meet their requirements for data analysis and visualization in a cost-effective way

Accountabilities:

  • Independently ensure good data-science practice is applied in all disciplines of crop protection development.
  • Closely work with product-line teams in statistical and data-analytics work applied to development projects from beginning to the end.
  • Continuously improve data-analysis methods and engines applied in the business in coordination with other project-team members locally and globally.
  • In coordination with other functions, help in the transition to big-data methods applied to agriculture.
  • Develop and implement a strategy to foster best-practice in data analysis and participate in projects within the area of responsibility.
  • Provide documentation, training material and training courses to maintain and improve trial design and analysis standards for global/regional/country users (field scientists, technical managers, others as necessary).
  • Support Data Analytics and Predictive Modelling team activities wherever necessary.

Requirements:

  • M.Sc. or Ph.D. in statistics, computer sciences or natural sciences (e.g., biology, chemistry, agronomy)
  • Profound knowledge of data-analytics methods and their application in biology, agronomy and crop care.
  • Advanced technical knowledge of the R programming language, ideally with experience in package development.
  • Agile mindset, with focus on delivery of results in constant contact with stakeholders. Training in Agile Project Management methods and/or experience in start-up companies is an asset.
  • Familiar with Git or other version-control systems for software development.
  • Familiar with database query languages (e.g., SQL).
  • Machine learning experience is a major plus, but certainly not a must.
  • You have the ability to influence, to lead and build a culture of innovation which creates an environment that inspires and supports creativity. You have strong pro-active communication skills and alignment with stakeholders.
  • Experience in analysing and extracting knowledge from (often noisy) data.
  • Experience in working well as a part of a diverse international team
  • Fluent verbal and written communications skills in English. Other languages are plus.

What we offer:

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
  • Flexible working arrangements and environment with an open culture and diverse workforce
  • The opportunity to work with and learn from highly qualified and experienced employees
  • 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, gym, canteen, and other benefits (Family friendly initiatives, Child and Family allowance…)

Learn more about our team, our mission and how we achieve our goals.

Interested? We look forward to receiving your online application including all relevant documents (cover letter, CV, diploma, certificates) – reference number 18042264.

Please be aware that the job title may differ from the position title.

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