Agricultural Data Insights Specialist

2 semanas atrás


São Paulo, São Paulo, Brasil beBeeDataAnalytics Tempo inteiro R$130.000 - R$170.000
About Us

We are a global leader in agricultural innovation with a presence in more than 90 countries.

Our mission is to build the most collaborative and trustworthy team in agriculture, providing top-quality solutions that improve farmers' success.

We seek a Data Analytics Lead to build and lead a data analytics team as part of our Digital Development efforts.

Key Responsibilities:
  • Drive data science needs in Crop Protection Development on statistics, advanced data analytics and predictive modelling in different product lines.
  • Contribute to strategic developments in Product Biology with a focus on Digital across different product lines and collaborate with regional counterparts.
  • Influence data strategy and ensure diverse internal and external data sources are effectively connected and integrated to support analysis and modelling.
Accountabilities:
  • Work in multidisciplinary project teams to bring data analytics and modelling skills to development and optimization of crop protection product candidates.
  • Champion Digital Transformation initiatives by driving collaboration efforts on connection points with R&D and Digital.
  • Identify opportunities for standardized improvements on protocol and experimental design, data quality and reporting. Co-develop an effective trialing process.
  • Interact with domain experts to understand scientific problems and identify opportunities where model adoption will drive business value.
  • Provide expertise and guidance on experiment and field trial design for modelling purposes.
  • Drive strategic business initiatives across Crop Protection R&D e.g. working with physical chemistry, biokinetic and environmental data to model field trials.
  • Merge data from multiple sources together to prepare them for analysis.
  • Monitor new developments and maintain awareness of modelling approaches taken by other companies, vendors and academia. Explore analytical tools, methodologies or approaches to understand their effectiveness and deployment.
Qualifications:
  • Strong academic foundation in statistics and predictive modelling to postgraduate level or natural science PhD.
  • Knowledge of relevant data-science, analytics and modelling tooling (e.g. Python, R, Matlab, etc.).
  • Scientific domain knowledge in agronomy, biology, chemistry, etc to work effectively with crop protection scientists.
  • Knowledge of model validation, assessing robustness and machine learning techniques applied to biological sciences.
  • Experience in developing models relevant to biological or crop protection outcomes (e.g. epidemiology, pest or disease modelling).
  • Experience in analysing and extracting insights from data.
  • Experience in working independently and to a high level of accuracy.
  • Collaboration experience with scientists and data scientists to solve complex problems.
  • Effective communication of scientific and data concepts to specialist and non-specialist audiences.

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