Remote Senior Data Scientist — GenAI for Crop R&D

Syngenta

United States

Remote

USD 101.000 - 148.000

Vollzeit

Vor 12 Tagen

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Zusammenfassung

Syngenta Crop Protection is seeking a Senior Data Scientist – Predictive Science to join our global analytics team within Product Biology & Sustainable Innovation. You will develop machine-learning and predictive-modelling approaches that guide discovery, optimisation and development of Crop Protection solutions, connecting diverse data with R&D decision-making in an international research environment.

You will apply AI, ML and Generative AI methods to accelerate scientific discovery, support

Aufgaben

  • Develop and validate predictive models based on historical, experimental and scientific data to support project and business decisions.
  • Apply AI, machine learning and Generative AI methods to accelerate scientific discovery, improve decision-making and create scalable solutions across Crop Protection R&D.
  • Identify, assess and prioritise AI and GenAI use cases based on scientific relevance, business value, feasibility, data readiness, risk and expected impact.
  • Partner with multidisciplinary teams to support the discovery, optimisation and development of Crop Protection leads and product candidates.
  • Integrate and analyse data from different sources, including physical chemistry, biokinetic, environmental, laboratory, glasshouse and field-trial data.
  • Work with scientists to understand complex problems and identify opportunities where predictive modelling, AI or GenAI can create measurable value.
  • Collaborate with R&D IT and software development

Jobbeschreibung

Syngenta Crop Protection is seeking a Senior Data Scientist – Predictive Science to join our global analytics team within Product Biology & Sustainable Innovation. You will develop machine-learning and predictive-modelling approaches that guide discovery, optimisation and development of Crop Protection solutions, connecting diverse data with R&D decision-making in an international research environment.

You will apply AI, ML and Generative AI methods to accelerate scientific discovery, support

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