Lead cutting-edge data science initiatives at Bunge, a global leader in agribusiness and food products, by developing advanced models to optimize supply chain, trading, and sustainability efforts. Collaborate with cross-functional teams to turn complex data into actionable insights that drive business growth and innovation.

As a Principal Data Scientist at Bunge, you will play a pivotal role in transforming our data-driven decision-making processes within the global agribusiness sector. You will lead a team of data scientists and analysts to develop sophisticated predictive models that enhance trading strategies, optimize supply chain logistics, and support sustainability initiatives. Your work will involve analyzing vast datasets from commodity markets, agricultural production, and food processing operations to uncover insights that inform executive strategies and operational efficiencies.

Key responsibilities include designing and implementing machine learning pipelines, conducting advanced statistical analyses, and integrating AI solutions into business workflows. You will collaborate closely with product managers, engineers, and domain experts to ensure solutions are scalable, ethical, and aligned with Bunge's commitment to innovation and responsibility. This role offers the opportunity to influence the future of food security and global trade through data excellence.

Bunge values diversity and inclusion, fostering an environment where innovative ideas thrive. If you are passionate about leveraging data for positive impact in a dynamic industry, we invite you to join our team and contribute to meaningful advancements.

• Advanced degree (PhD or Master's) in Data Science, Statistics, Computer Science, or a related field
• 8+ years of experience in data science roles, with proven leadership in building and deploying machine learning models
• Proficiency in Python, R, SQL, and big data technologies like Hadoop, Spark, or AWS services
• Strong expertise in machine learning algorithms, statistical modeling, and data visualization tools (e.g., Tableau, Power BI)
• Experience in agribusiness, supply chain analytics, or financial modeling is highly desirable
• Excellent problem-solving skills and ability to communicate complex findings to non-technical stakeholders
• Familiarity with cloud platforms (AWS, Azure, or GCP) and version control systems like Git

• Competitive monthly salary in the range of $12,000-$18,000, commensurate with experience
• Comprehensive health, dental, and vision insurance coverage
• Generous paid time off, including vacation, sick leave, and parental leave
• Professional development opportunities, including conferences, certifications, and tuition reimbursement
• Remote work flexibility with access to state-of-the-art tools and collaboration platforms
• Employee stock purchase plan and performance-based bonuses
• Wellness programs, including gym memberships and mental health support