Data Scientist (m/f/d)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

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…)