Data Scientist (Meteorology)

Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 15,000 people globally.
Job Description
Along with the below listed responsibilities, the employee should conduct any other business related to the function as required by her or his supervisor.
- We are seeking a highly skilled and dedicated Data Scientist with a strong background in Meteorology and a preferred PhD in Atmospheric Science or a related field. The ideal candidate will not only have a passion for data analytics and modeling but will also enjoy interpreting large-scale weather patterns and teleconnections and will have proficiency in forecasting weather and understanding the patterns driving the expected weather pattern;
- Conduct research and data analysis on large meteorological datasets;
- Collaborate with cross-functional teams to translate complex data into actionable insights;
- Present findings to both technical and non-technical stakeholders;
- Stay updated with the latest trends and techniques in meteorology, atmospheric science, and data science.
Experiences
- Strong background in Meteorology;
- Proven experience in research and data analytics;
- Proficiency in Python and experience with data analysis libraries (e.g., Pandas, NumPy, SciPy).
- Experience with modeling techniques and machine learning algorithms is a plus, but not required.
- Experience with Google Earth Engine is a plus, but not required.
Skills
- PhD in Atmospheric Science or related field.
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