Data Scientist, Global Commodity Analytics

Bunge; Chesterfield (MO); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health and wellness plans

Retirement contribution

Paid vacation/holidays

Job summary

Bunge is seeking a Data Scientist to join its Economic Analysis team in Chesterfield, MO. You will apply advanced statistics, econometrics, and machine learning to vast datasets to model crop production, pricing trends, and customer behavior, informing global commodity market insights.

Work with economists and traders to translate business questions into predictive models, monitor performance, and communicate findings to leadership.

Qualifications

• MS degree in Economics, Agricultural Economics, Statistics, Computer Science, Quantitative Finance, Business Analytics, or a closely related quantitative field.
• Minimum 2 years of professional experience in a Data Scientist or similar quantitative role, preferably in economic analysis, commodity trading, financial services, or agribusiness.
• 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 (time series, causal inference), and machine learning algorithms (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 clearly.
• Detail-oriented, proactive, self-motivated, able to work independently and collaboratively in a fast-paced global environment.

Responsibilities

• Collaborate with economists, market analysts, data engineers, and business leaders to translate business challenges into solvable data science problems.
• Translate business problems into data-driven analytics and machine learning tasks; design, develop, and deploy high-performance predictive models.
• Design and implement analytical strategies to extract and leverage diverse data sources; assess inputs for global economic models.
• Monitor, evaluate, and refine deployed ML solutions to ensure sustained accuracy and business impact.
• Communicate analytical findings and model insights to senior leadership, traders, and business units to support decision-making.

Skills

Python

SQL

Econometrics

Time series analysis

Data visualization

Communication skills

Education

MS in Economics or related field

Tools

NumPy

pandas

scikit-learn

statsmodels

TensorFlow

SQL

Job description

Bunge is seeking a Data Scientist to join its Economic Analysis team in Chesterfield, MO. You will apply advanced statistics, econometrics, and machine learning to vast datasets to model crop production, pricing trends, and customer behavior, informing global commodity market insights.

Work with economists and traders to translate business questions into predictive models, monitor performance, and communicate findings to leadership.