Job Description
Lead data exploration and analytics initiatives by connecting and analyzing diverse data sources (trials, imagery, sensors, drones, satellite, …) to extract valuable insights. Own end-to-end data analytics processes including extraction, processing, analysis, reporting, modeling, deployment, and visualization. Develop and deploy automated data processing pipelines to streamline analysis workflows across multiple data sources. Apply predictive analytics, machine learning, and AI techniques to create innovative solutions that drive business value. Collaborate cross-functionally with Global and Regional stakeholders to deliver cost-effective, stable, and performant data science solutions aligned with business needs. Stay current with emerging data analytics and ML technologies, implementing new methodologies to enhance existing processes. Foster a culture of innovation and creativity while enabling data-driven decision making through advanced predictive modeling solutions.
About Syngenta
Syngenta is leading science-based agtech company; dedicated to bringing plant potential to life and solving humanity’s most pressing challenges: growing more food with fewer resources.