Data scientist, meteorology

7 days ago


Singapore This Is An IT Support Group Full time

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 18,000 people globally.
Job Description
We are looking for a highly skilled Data Scientist for our global Weather Desk with a strong background in Meteorology. The ideal candidate will hold a Ph D or Master’s degree in Atmospheric Science or a related field. We seek someone who is passionate not only about data analytics and modeling but also enjoys interpreting large-scale weather patterns and teleconnections. The role balances forecasting work for commercial teams and research projects using data science. The ideal candidate is proficient in weather forecasting and understands the driving forces behind expected weather patterns.
Main Responsibilities:
Lead global weather intelligence and monitoring for the South East Asia regional commercial offices
Conduct research, perform data analysis, and create predictive models using meteorological datasets
Work with the internal team to expand and improve the suite of weather monitoring tools and visualizations
Collaborate with cross-functional teams to translate complex weather/climate data into actionable insights through an agricultural commodity lens
Present weather and research output to both technical and non-technical stakeholders on a regular basis
Interact with our AI Hub in Singapore and ensure LDC benefits from the most recent developments in weather-related AI
Experiences:
At least 1-3 years of relevant experience
Strong background in meteorology and forecasting
Proven experience in research and data analytics
Experience with agricultural commodities and trading is a plus
Experience with modeling techniques and machine learning algorithms is a plus
Experience with Google Earth Engine is a plus
Genuine interest in the commodity trading industry
Strong analytical and statistical capabilities, with a proven track record in problem-solving
Excellent communication skills
Ability to work independently and in collaborative settings
Technical Skills:
Proficiency in Python
Experience in data analysis libraries (e.g., Pandas, Num Py, Sci Py)
Languages:
English (Fluent)
Academics:
Ph D or Master’s in Atmospheric Science, Agricultural Science, Meteorology, or related field of study
Diversity & Inclusion
LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity, and inclusion.
Sustainability
Sustainable value is at the heart of our purpose as a company. We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch, and the environment around us.
What We Offer
We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world.
We offer:
A workplace culture that embraces diversity and inclusivity
Regular events that foster team engagement
Access to Training and Development
Hybrid work arrangement offered (availability varies by role).
Comprehensive insurance coverage and flexible benefits#J-18808-Ljbffr



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