Senior Data Scientist

Senior Data Scientist Date: Jan 13, 2026 City : Sao Paulo State : São Paulo (BR-SP) Country : Brazil (BR) Requisition Number : 43237 Bunge has an exciting opportunity available for Senior Data Scientist. In this role you will be part of a global team working on challenging, meaningful projects impacting core business activities. Since 1818, Bunge has been connecting farmers to consumers to deliver essential food, feed, and fuel to the world. Looking to the future, our ambition is to continuously reinvent ourselves, leveraging data to be at the forefront of analytics, technology and talent to accomplish our purpose in a better, faster and simpler way. Bunge is committed to operating and thriving in the digital world – creating world class agile teams where teammates are empowered and encouraged to collaborate and test and learn to succeed. At Bunge, people don’t just come here to work, they come here to grow – solving challenges that directly impact the world with a diverse team of thinkers and doers. Bunge offers a strong compensation and benefits package, generous paid time off program, flexible work arrangements, and opportunity to progress. Our hybrid work environment provides a balance of in-office and remote work. Most importantly, in all we do we live our values: Act as One Team by fostering inclusion, collaboration, and respect Drive for Excellence by being agile, innovative and efficient Do What's Right by acting safely, ethically, and sustainably Overview: We are seeking a highly motivated and experienced Senior Data Scientist with strong expertise in optimization in supply chain to join our growing team. As Senior Data Scientist, you will be responsible for driving the construction of optimization models to solve business problems, communicate to the technical team, and assure the delivery matches business expectations. You will also be responsible for working with cross-functional teams to identify and prioritize data analytics initiatives. Essential Functions: Design, create, test, and implement complex models and algorithms that drive analytical solutions throughout the organization. Gives technical support for data scientists across multiple squads. Collaborate with business analyst and understand business problems to implement scalable and sustainable solutions. Define development standards and solution approach. Design and structure reusable codebase Coordinate with MIS, Digital Specialists, and Data Engineers to deliver holistic analytical solutions Communicates the design, functioning and output of the analytical models/solutions developed Ensure timely analysis and testing for regular maintenance of solutions over time Communicate data insights to stakeholders. Qualifications: Master's degree in a STEM field preferred, or equivalent extensive practical experience in data science, with a proven track record of 3+ years in a senior or lead data scientist capacity Expert in programming languages like Python or R Advanced knowledge in math, analytics and computer science, knowledge of machine learning methods, statistical models, advanced data science programming. Ability to develop robust and accurate models, ensuring integrity and reliability. Skilled in optimizing existing high-performing systems. Capable of writing maintainable and reusable code. Experience in building resilient data pipelines within cloud environments. Commitment to thorough and high-quality data preparation. Capable of mentoring Associates and other Data scientists and answer business questions to higher authorities and management. Model behavior as a great team player and teach new ideas. Communications with the project stakeholders on a regular basis Proficient in data science, machine learning, Python, R, SQL, data analysis, analytical skills, teamwork, and communication skills. Can help business structure the problems/hypotheses they want to address and convert it into an advanced analytics approach including machine learning Develop business awareness of possible use cases and help them to understand the necessary concepts of data science and optimization to ensure better communication across functions. At Bunge (NYSE: BG), our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world. As a premier agribusiness solutions provider, our team of ~37,000 dedicated employees partner with farmers across the globe to move agricultural commodities from where they’re grown to where they’re needed—in faster, smarter, and more efficient ways. We are a world leader in grain origination, storage, distribution, oilseed processing and refining, offering a broad portfolio of plant-based oils, fats, and proteins. We work alongside our customers at both ends of the value chain to deliver quality products and develop tailored, innovative solutions that address evolving consumer needs. With 200+ years of experience and presence in over 50 countries, we are committed to strengthening global food security, advancing sustainability, and helping communities prosper where we operate. Bunge has its registered office in Geneva, Switzerland and its corporate headquarters in St. Louis, Missouri. Learn more at Bunge.com. Every day our people exemplify these values, which represent Bunge at its core: We Are One Team – Collaborative, Respectful, Inclusive We Lead The Way – Agile, Empowered, Innovative We Do What’s Right – Safety, Sustainability, With Integrity If this sounds like you, join us We value and invest in people who believe in our purpose and are excited to live it every day – people who are #ProudtoBeBunge Job Segment: Agronomy, Sustainable Agriculture, Machinist, Senior Scientist, Supply Chain, Agriculture, Manufacturing, Science, Operations #J-18808-Ljbffr