Data Science Architect, Pipeline Analytics (Plant Breeding)
Summary
Designs and builds scalable data pipelines to consolidate plant breeding datasets, enabling predictive analytics and ML-driven insights for innovation in agricultural research.
Syngenta Seeds is seeking an Applied Scientist - Pipeline Data Science to design and implement scalable data pipelines, consolidating diverse datasets for actionable insights in plant breeding.
The role focuses on data accessibility, reliability, and advanced analytics, collaborating across IT, data science, and breeding teams to drive innovation and improve predictive pipelines with ML and cloud technologies.