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The M&A Business Development Manager at Louis Dreyfus Company drives growth through business development and mergers & acquisitions. Responsibilities include formulating business strategies, developing valuation models, presenting investment opportunities, leading transaction life cycles, and coordinating with various internal stakeholders to assess the implications of potential investments.

Perform mid-level vessel execution related functions for the Global Freight Platform's time & voyage chartered vessel fleet transporting agricultural and mineral cargoes for an international commodity trading firm. Responsibilities include contract review, invoicing, cash management, reconciliation, and vendor communication.

Louis Dreyfus Company is offering a 1-year graduate program in the Grains & Oilseeds platform, focusing on various functions such as execution, logistics, research, and commercial development. Trainees will gain foundational knowledge in global agriculture and food value chains.

Managing and monitoring shipments in compliance with contractual requirements, overseeing documentation and logistics for imports and exports of oilseeds, handling high seas trades and documentation, coordinating with shipping lines and freight bookings, managing stakeholder communication, and ensuring timely and accurate record-keeping.

The Ginner is responsible for managing cotton ginning operations efficiently, effectively, and safely. Responsibilities include machine operation, team supervision, production monitoring, and maintenance. Preferred skills include ginning experience, mechanical, maintenance, and electrical knowledge, leadership abilities, and computer literacy for reporting. Benefits include working for a global commodities company, health insurance options, novated car leasing, and employee assistance programs. LDC promotes diversity, inclusion, and sustainability in its working environment.

Lead and execute marketing strategies for green and soluble coffees in domestic and international markets. Develop sales channels, acquire new clients, monitor market trends, and represent the company at trade shows. Ensure customer satisfaction and provide regular performance reports. Conduct business activities ethically and responsibly.

The Data Scientist will analyze and develop predictive models using machine learning and statistical techniques for agricultural commodities. Responsibilities include transforming and analyzing weather datasets, creating dashboards, and presenting findings to stakeholders. The role requires strong programming skills in Python and knowledge of analytical packages to support decision-making in commodity markets.