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About the Role

Lead end-to-end data science projects for the G&O / Vegoil tanker desk, focusing on palm production analytics, weather modelling, palm flows, and tanker analytics. This role involves partnering with traders, researchers, and IT to define project objectives and translate complex analytical outputs into actionable business insights.

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.

Requirements

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.
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.
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.
Proficient in English.

Skills

Python
SQL
Statistical modeling
Machine learning
Forecasting
Optimization
Data visualization
Data architecture
Database design
Cloud-enabled analytics
Dashboards
Reports
Alerts
Self-service analytical products
Global economics
Commodity markets
Commercial decision-making
Stakeholder management
Expectation setting
Project leadership
Mentoring
Collaboration
Professional development
Accountability
Delivery excellence
Ambiguity tolerance
Pressure tolerance
Sound judgment
Influence
Consensus building
Cross-functional collaboration
Clear communication
Project ownership
Prioritization
Time management
Execution discipline
Interpersonal skills
Relationship building
Self-motivation
Resilience
Pragmatism
Business outcome orientation

Work Type

Hybrid work arrangement

Experience Level

5 - 8 years of work experience
Senior individual contributor or team lead

Education Level

Degree in Computer Science, Data Science, Analytics, Statistics, Engineering, Economics, Business Analytics, or a related quantitative field.
Advanced degree or combined technical and business background preferred.

Benefits

Comprehensive insurance coverage
Flexible benefits

About the Company

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.
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.

Equal Opportunity

LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion.
LDC encourages diversity, supports local communities and environmental initiatives.
We encourage people of all backgrounds to apply.