Applied Scientist - Pipeline Data Science

The Seeds Development department for Syngenta seeks a passionate candidate for a full-time position of: 

Applied Scientist - Pipeline Data Science

Type: Permanent 
Department: Seeds Development / Vegetables
Location: Enkhuizen - The Netherlands

Into action 

Do you thrive at the intersection of data engineering, predictive analytics, and innovation? As our Applied Scientist - Pipeline Data Science, you will play a crucial role in designing scalable data solutions that drive actionable insights. By consolidating complex datasets into robust, efficient pipelines, you’ll empower teams to make better decisions and uncover new possibilities in plant breeding. This is your opportunity to work on impactful projects in a collaborative and cutting-edge environment where data drives transformation. 

The challenge

As an Applied Scientist, you’ll focus on building the infrastructure that makes data accessible, reliable, and actionable for diverse stakeholders. Your key responsibilities will include: 

• Building Scalable Data Pipelines: Design, implement, and optimize data pipelines that integrate and consolidate data from multiple sources, ensuring seamless data flow and availability. 
• Ensuring Data Quality and Reliability: Develop systems to track, monitor, and maintain the quality, consistency, and integrity of data to ensure robust outputs for analysis and decision-making. 
• Driving Data Modeling and Mining: Create and implement processes for advanced data modeling and mining to support innovative analytical approaches. 
• Collaborating Across Teams: Work closely with IT, applied data science teams, and business stakeholders to align data solutions with organizational goals, addressing unique data needs efficiently. 
• Identify opportunities to incorporate advanced analytics, including machine learning frameworks and cloud platforms to continuously improve predictive pipelines.
• Influence adoption of prediction methods, contribute towards their integration in the breeding process and the transformation of breeding schemes  

This role combines creativity and problem-solving with a focus on real-world applications. You’ll not only shape the way data is managed but also contribute to meaningful outcomes in plant breeding and sustainable agriculture. Every dataset you refine and every system you enhance will drive smarter decisions and impactful innovations. 

Syngenta is one of the world’s leading companies with more than 27.000 employees in over 90 countries dedicated to our purpose: Bringing plant potential to life. Through world-class science, global reach and commitment to our customers we help to increase crop productivity, protect the environment and improve health and quality of life. For more information about us please go to www.syngenta.com.

Your profile 

We’re looking for a driven and detail-oriented Applied Scientist with a Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related field. You bring a strong mix of technical expertise, analytical acumen, and a collaborative mindset: 

• Programming: Proficiency in Python, R, and SQL. Experience in both relational and NoSQL databases.
• Cloud Proficiency: Familiarity with AWS services and cloud infrastructure
• Analytical Acumen: Exceptional analytical skills, with the ability to identify patterns and trends in large and diverse datasets and translate them into meaningful recommendations. 
• Collaboration & Communication: A strong team player who thrives in cross-functional settings and communicates technical concepts effectively to diverse stakeholders. 
• Additionally, hands-on experience with containerization tools (e.g., Docker, Kubernetes) and machine learning frameworks (e.g., Keras, PyTorch, scikit-learn), along with an interest in plant breeding or agricultural innovation, would make you an ideal fit for this role.

Take your chance! 

Syngenta is proud of its unique culture and the values that are at the heart of it. We also foster a strong learning culture with plenty of opportunities for personal development. Why? Because our work matters! We offer a competitive salary package, flexible working hours and excellent benefits.

Are you ready to grow your career with us?