Data Scientist Lead, Vessel Tracking (Geolocation/ Time Series)

Overview / Brief

Louis Dreyfus Company is a world leader in the processing of agricultural products and the merchandising of a diverse range of commodities. Founded and based in Europe, Louis Dreyfus Company enjoys a strong regional presence in North and South America, Europe, Asia, the Middle East, and Africa.
Louis Dreyfus Company operates with the drive of a young organization, tempered and fueled by over more than 165 years of experience and expansion in the field of agricultural commodities. Today, with offices in more than 55 countries and approximately 18,000 employees, the Group stands strong, pragmatic, and diversified, guided by a multi-cultural management staff devoted to its aims and to its unique business model.

Central to our global commodity processing and trading activities, the Freight Platform has grown to become a major global chartering entity, heavily leveraging data analytics.

Diversity & Inclusion

LDC is driven by a set of shared values and high ethical standards

Diversity is part of our DNA. LDC strives to create a diverse and inclusive work environment where people can thrive regardless of gender, sexuality, ethnicity or background.

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.

Main Responsibilities:

As a Data Scientist at LDC, you will be an integral part of our dynamic team, contributing to the development and enhancement of our vessel tracking ecosystem. This ecosystem integrates diverse data sources, proprietary tracking and forecasting models, and interactive dashboards that empower our commercial team to make informed trading choices on a daily basis.

1. Vessel Tracking Ecosystem Development:

• Lead the design, development, and maintenance of the vessel tracking product.
• Collaborate with DT&A teams and other platforms to ensure coordinated development and integration of data sources and features.
• Take ownership of critical components, driving continuous improvement.

2. Forecasting Models and Trading Insights:

• Develop advanced forecasting models using machine learning techniques.
• Leverage proprietary data sets to enhance accuracy and reliability.
• Work closely with traders and research analysts, translating data into actionable insights.

3. Data Management and Analytics:

• Provide high-quality data and analytics support to the Freight platform.
• Ensure data availability, reliability, and adherence to best practices.
• Design intuitive visualizations and user interfaces for informed decision-making.

4. Collaboration and Leadership:

• Liaise with data scientists, fundamental analysts, and other stakeholders.
• Lead development efforts, fostering innovation within a collaborative environment.
• Champion creative solutions to enhance our technological setup.

5. Machine Learning Integration:

• Structure proprietary information into in-house data sets.
• Apply machine learning models to extract valuable insights.
• Optimize trading strategies based on data-driven recommendations.

Experiences:

• At least 4-6 years of relevant working experience
• Strong analytical skills with experience in time series analysis.
• Exposure to financial markets or trading environments is advantageous.
• Excellent communication skills and the ability to collaborate effectively.

Other skills (Computer Skills, etc):

• Proficiency in Python, machine learning libraries (e.g., TensorFlow, scikit-learn), and data visualization tools (e.g., Matplotlib, Plotly).

Academics:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.