Data Scientist

A Day In The Life:

Leveraging our inherent market intelligence is a critical component to Bunges success particularly in the dynamic agricultural markets. This the reason why Bunge has one of the large economic analysis teams in the industry. Our analysis team is comprised of over 50 analysts worldwide who gather analyze supply and demand and other pertinent information. The global analysts work closely with global traders to help market develop market theses that drive the companys trading and risk decisions. The team covers global grains oilseeds biofuels ocean freight and livestock.

What Youll Be Doing:

The Data Scientist will be an integral part of the Bunge Economic Analysis team leveraging advanced statistical modeling econometrics and machine learning to analyze vast internal and external datasets. This role is crucial for developing sophisticated predictive models that inform our understanding and forecasting of global commodity market dynamics including crop production pricing trends and customer behavior thereby advancing our economic research functions worldwide.

• Collaborate effectively within cross-functional teams including economists market analysts data engineers and business leaders to translate complex business challenges into solvable data science problems.
• Translate complex business problems into data-driven analytics and machine learning tasks then design develop and swiftly deploy high-performance resilient predictive models using a range of machine learning statistical and econometric techniques.
• Design and implement advanced analytical strategies and algorithms to extract analyze and leverage diverse data sources. Critically assess the effectiveness accuracy and suitability of various data inputs for global economic models.
• Rigorously monitor evaluate and refine the performance of deployed machine learning solutions to ensure sustained accuracy and measurable business impact.
• Clearly and effectively communicate complex analytical findings model insights and strategic recommendations to diverse audiences including senior leadership traders and business units supporting informed decision-making and global risk management.

Skills/Experience Requirements:

• Minimum MS degree in Economics Agricultural Economics Statistics Computer Science Quantitative Finance Business Analytics or a closely related quantitative field.
• Minimum 2-year of professional experience in a Data Scientist or similar quantitative role preferably within an economic analysis commodity trading financial services or agribusiness environment.
• Expert proficiency in Python (e.g. pandas NumPy scikit-learn statsmodels TensorFlow) for data manipulation statistical analysis machine learning and data visualization.
• Strong SQL skills for data extraction manipulation and analysis from relational and non-relational databases.
• Solid understanding of statistical inference econometric modeling (e.g. time series analysis causal inference) and machine learning algorithms (e.g. regression classification clustering tree-based models).
• Demonstrated ability to frame complex problems design analytical solutions and extract meaningful insights from large datasets.
• Excellent communication and presentation skills with the ability to explain complex concepts or methods in a precise and clear manner.
• Detail-oriented proactive self-motivated build work relationships and able to work both independently and collaboratively in a fast-paced dynamic global environment.
• 5 years of industry work experience in Data Science fields.
• Experience with geospatial data analysis remote sensing satellite imagery processing and deep learning for statistical modeling.
• Experience with big data technologies and cloud-based data platforms and products (e.g. Google Cloud Platform AWS).
• Familiarity with MLOps practices for deploying monitoring and maintaining machine learning models in production.
• Specific knowledge of agricultural commodity markets (e.g. grains oilseeds biofuels) agronomics etc.

Benefits:
Health Benefits Offering choices so you can enroll in medical dental and vision to meet your individual needs 401(k) Investing in your future with an automatic 5% company contribution AND matching up to 4% of your contributions.
Family Support Supporting new and growing families by providing 6 weeks of 100% paid parental leave and fertility coverage.
Tuition Reimbursement Contributing to your education by reimbursing $5000 of tuition expenses annually.
Time Off Providing generous PTO based on professional work experience
0 9 years: 25 days
10 19 years: 30 days
20 years: 35 day

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 37000 dedicated employees partner with farmers across the globe to move agricultural commodities from where theyre grown to where theyre neededin 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 .

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 Whats 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