Applied Scientist - Pipeline Data Science
Applied Scientist - Pipeline Data Science
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1 Vacancy
Job Description
The Seeds Development department for Syngenta seeks a passionate candidate for a fulltime 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 youll 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 cuttingedge environment where data drives transformation.
The challenge
As an Applied Scientist youll 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 decisionmaking.
- 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 problemsolving with a focus on realworld applications. Youll 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.
Qualifications :
Your profile
Were looking for a driven and detailoriented Applied Scientist with a Masters 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 crossfunctional settings and communicates technical concepts effectively to diverse stakeholders.
- Additionally handson experience with containerization tools (e.g. Docker Kubernetes) and machine learning frameworks (e.g. Keras PyTorch scikitlearn) 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
If you recognize yourself in this breeder profile and would like to apply for this position please apply online via If you would like to have more information about this vacancy please contact our recruiter Silvana van den Elzen via or.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
