Senior Data Scientist

About the role

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.

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 technical and business background preferred.

How to apply: Apply via Louis Dreyfus Company's official careers site (SmartRecruiters): click "I'm interested" and submit your CV. Apply here: https://jobs.smartrecruiters.com/LouisDreyfusCompany/744000144675979