Agriculture Statistical Modeller (m/f/d)

Agriculture Statistical Modeller (m/f/d)

Agriculture Statistical Modeller (m/f/d)

YARA GmbH Co. KG, Dülmen

Agriculture Statistical Modeller (m/f/d) About Yara We at Yara are part of a global network, collaborating to profitably and responsibly solve some of the world& s key challenges - resource scarcity, food insecurity and environmental change. About the unit Yara has an ambitious strategic agenda to be the crop nutrition company for the future and is taking lead in the development towards sustainable agriculture and digital tools, to contribute to solving the challenges which the agricultural industry is facing globally. We have a worldwide presence with sales to ~150 countries and around 17 000 employees. The newly established function, Yara Farming Solutions, will lead the transformation towards more sustainable and efficient food production, by innovating our offering and the way we work. The unit is responsible for R D and agronomic competence within the company. Its objective is to develop and to strengthen Yara& s knowledge regarding Crops, Agronomy, and Sustainable Agriculture. It also leads the agronomic input and requirements regarding the development of new and innovative digital products and tools. It has a specialised team on agri-environmental modelling and analytics fostering a data driven innovative research environment. About the Role Yara is driven by a strong scientific and innovative spirit in its products and solutions. We place high importance on cutting-edge research focussing on developing solution paradigms suitable for future farming. This role is based within the Agronomic Analytics and Modelling group of Yara Agronomy R D unit which mainly focusses on the application of modelling techniques including Machine Learning/ AI to address research questions of interest. The role shall focus on developing agronomic models on nutrient dynamics, crop growth and yield, environmental risk and associated dimensions of sustainable agriculture. We are looking for a motivated, dedicated, and innovative individual with an interest in using statistical and biophysical process models for forecasting. The role will complement the existing sub-group that focusses on the use of mechanistic / process modelling for predictive analysis. The position is permanent and can be based flexibly, the base team is in Duelmen, Germany. The position shall report to VP Agronomic Analytics and Modelling. Close collaboration with other teams within Yara R D and other units will be vital for success in this role. Your Responsibilities 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 Your Profile 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. We offer Flexible work organization 30 vacation day 37,5 working hours with a time tracking system Occupational pension plan, occupational disability insurance for the chemical industry, accident insurance, supplementary long-term care insurance Bonussystem Occupational health management, Job-Bike, Hanse-Fit Additional Information Are you interested in this position in our future-oriented and modern company? We are looking forward to receiving your application. Please indicate your earliest possible entry date and salary expectations. As a global organization we actively strive to reflect the diversity in society. We therefore encourage qualified applicants from all backgrounds to apply. We are committed to creating a work environment that fits gender equality. We expressly welcome applications from persons with a severe disability or persons who are on an equal status with severely disabled persons. Contact details Subhashree Das VP Agronomics Modelling Agronomic Analytics Modelling Sarah Wulf HR Service Specialist Apply no later than 09. July 2023 Knowledge grows through differences Yara is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. We believe that creating a diverse and inclusive work environment is not only the right thing, but also the smart thing to do. To deliver on this, Yara has firmly anchored Diversity, Equity Inclusion (DE I) in our business strategy and has more than 400 employees worldwide involved in D I ambassadors networks. Grow with us at yara.com/careers YARA GmbH Co. KG

2023-07-29T07:41:08.168Z FULL_TIME EUR YEAR null 2023-05-30 Dülmen 48249 Hanninghof 35 51.84057199999999 7.2578765

Agriculture Statistical Modeller (m/f/d)