Summary 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. Main
Responsibilities Along with the below listed responsibilities, the employee should conduct any other business related to the function as required by her or his supervisor.
LDC is looking for a data scientist to join a growing team in charge of developing a vessel tracking ecosystem composed of multiple data sources, proprietary tracking and forecasting models and dashboards that are used by commercial team to take trading decisions on daily basis.
You will closely collaborate with the Freight platform’s data scientists and fundamental analysts, supporting the trading activities with high quality information, making sure the right data is consistently available at the right time, implementing data and analytics best practices.
You strive for excellence in the technological setup and propose innovative ways to solve complex problems.
Key areas of responsibility
The successful candidate will sit on the Freight trading desk and will enjoy project responsibility, exposure to senior traders, strong support from trading managers and the opportunity to play a key role in shaping the division’s data science strategy.
S / he will be working in a team with other data scientists from the Freight research team and various agriculture trading platforms in the company.
S / he will be able to leverage a fully working technology stack (Azure DevOps / Databricks notebooks / Docker & Kubernetes cluster) and LDC proprietary python packages.
Experiences -3 - 6 years relevant working experience in data science / analytics / timeseries analysis (or equivalent working on PhD thesis)
Education BS / MS / PhD in Engineering / Computer Sc. / Data Science / Statistics.