Informationen zur Anzeige:
Agriculture Statistical Modeller (m/f/d)
Dülmen
Aktualität: 30.05.2023
Anzeigeninhalt:
30.05.2023, YARA GmbH & Co. KG
Dülmen
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.
Berufsfeld
Bundesland
Standorte