Senior Data Scientist

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

Main Responsibilities:

• Lead end-to-end data science projects for the G&O / Vegoil tanker desk, with key responsibility for palm production analytics, weather modelling, palm flows and tanker analytics.
• Partner with traders, researchers, IT, data engineering, and leadership to define project objectives, timelines, resources, dependencies, and success measures.
• Collect, clean, organize, and analyze large and complex datasets to assess drivers of supply, demand, flows, and prices, supporting sound and timely trading decisions.
• Design and build scalable databases, dashboards, reports, alerts, and analytical products within the research data environment.
• Lead initiatives from ideation through business adoption, proactively managing dependencies, securing stakeholder commitment and resources, and escalating blockers when needed.
• Translate complex analytical outputs into clear business insights, recommendations, and decision-support tools for trading and research stakeholders.
• Collaborate with data scientists across platforms to transfer methods, standards, and reusable analytical frameworks.
• Mentor junior data scientists and analysts, promote best practices, and contribute to a collaborative, high-performing data science culture.
• Propose innovative ideas, evaluate new technologies and analytical methods, and maintain awareness of market and technology developments.

Experiences & Competencies:

• 6+ years of experience in data science, analytics, quantitative research, or a related field.
• Proven experience leading complex data science or analytics initiatives from concept through deployment and business adoption.
• Demonstrated ability to operate as a senior individual contributor or team lead in a global, cross-functional organization, with experience mentoring and developing junior data scientists.
• Experience in a commodity trading environment a plus

Technical Skills:

• Advanced programming skills in Python, with strong command of SQL and modern data science workflows.
• Strong expertise in statistical modeling, machine learning, forecasting, optimization, and data visualization.
• Experience managing large datasets and transforming complex information into actionable business insights.
• Good understanding of data architecture, database design, and cloud-enabled analytics environments.
• Familiarity with dashboards, reports, alerts, and self-service analytical products for business users.
• Genuine interest in global economics, commodity markets, and commercial decision-making.

Skills & Competencies:

• Strong stakeholder management and expectation-setting skills, with the ability to balance competing priorities and communicate trade-offs effectively.
• Proven ability to lead initiatives from concept to adoption, proactively managing dependencies, securing stakeholder commitment and resources, and escalating issues appropriately to maintain project momentum.
• Experience leading and mentoring data science teams, fostering collaboration, professional development, accountability, and delivery excellence.
• Comfortable operating under ambiguity and pressure, exercising sound judgment while coordinating across multiple teams and business priorities.
• Ability to influence decisions, build consensus, and drive outcomes across cross-functional teams without formal authority.
• Ability to communicate complex ideas clearly to technical and non-technical audiences, including traders, researchers, technology teams, and senior stakeholders.
• Strong project ownership, prioritization, time management, and execution discipline across multiple concurrent initiatives.
• Excellent interpersonal skills and ability to build trusted relationships in a complex, international environment.
• Self-motivated, resilient, pragmatic, and business-outcome oriented.

Language:

• Proficient in English

Qualifications

• Degree in Computer Science, Data Science, Analytics, Statistics, Engineering, Economics, Business Analytics, or a related quantitative field.
• Advanced degree or combined technic