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Agriculture Statistical Modeller (m/f/d)
Aktualität: 30.05.2023


30.05.2023, YARA GmbH & Co. KG
Agriculture Statistical Modeller (m/f/d)
Conceptualise and implement models (strong focus on using statistical methods e.g. Bayesian statistics) on thematic areas of crop and nutrient management, crop quality and yield, GHG emissions from agriculture and allied topics. Identify and implement potential opportunities to interlink different modelling paradigms - mechanistic, machine learning and AI based models with statistical / empirical approaches Flexibly support the group with statistical analysis / methodologies wherever applicable Maintain updated knowledge on state-of-the-art in modelling techniques Create visual interpretations of results and communicate project outcomes to stakeholders in a comprehensible way
Masters degree in Agriculture / Environmental Science / Mathematics / Biostatistics, Doctor degree optional Sound understanding of the concepts of statistical modelling e.g. linear and logistic regression modelling, Bayesian modelling, linear mixed modelling Knowledge of model validation techniques and application Proven experience in data analysis and model development Self-motivated towards learning and upskilling Good programming skills in Python and/or R Familiarity with version control systems e.g. GitHub Excellent communication and presentation skills to effectively convey complex topics / results to stakeholders with non-technical backgrounds Good sense of team work and flexibility with work timings (ability to work with global teams) Good cross-cultural skills, deep respect for different cultures, gender and diversity. Fluency in English, knowledge of additional language such as German is preferable.