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Data Scientist (Meteorology)

São Paulo, SP,Brazil
Job Reference SP-9035807082
Professional Areas Other
Function Other
Contract Type Permanent
Years of Work Experience < 1 year
Start date 2024-02-27
Application close date 2024-05-27
Job Details
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Company Description
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.
- 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.
- 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.
- PhD in Atmospheric Science or related field.
• English (Advanced)
Bachelor Degree.
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.
        Required Languages
        • English (Advanced)
        Required Education
        Bachelor Degree.
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