Data Scientist, Global Commodity Markets

Missouri Ag Connection; Chesterfield, Northern (MO, KY); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Health and wellness plans

Retirement contribution

Paid vacation/holidays

Job summary

Bunge in Chesterfield, MO, is seeking a Data Scientist to analyze global commodity markets and develop predictive models using advanced statistics, econometrics and ML. You will work with economists, data engineers and traders to turn complex data into strategic insights that influence risk management and business decisions.

The role emphasizes collaboration, model reliability, and translating analytical results for senior leadership.

Qualifications

• MS degree in a quantitative field (Economics, Agricultural Economics, Statistics, CS or related).
• At least 2 years in a Data Scientist or similar role.
• Proficient in Python for data manipulation, statistics and ML.
• Strong SQL skills for data extraction and analysis.
• Solid understanding of statistical inference and econometric modeling.
• Ability to frame problems and derive actionable insights.
• Excellent communication and presentation skills.
• Detail-oriented, proactive, independent work.

Responsibilities

• Collaborate with economists, analysts, data engineers and business leaders to translate challenges into data science problems.
• Develop and deploy predictive models using ML, econometrics and statistics.
• Design analytical strategies to leverage diverse data sources for global models.
• Monitor and refine deployed ML solutions for accuracy and impact.
• Communicate findings and recommendations to leadership and traders.

Skills

Python

SQL

Econometrics

Statistics

Machine Learning

Communication

Problem framing

Attention to detail

Education

MS degree in Economics/Statistics/CS

Tools

Google Cloud Platform

AWS

TensorFlow

Job description

Bunge in Chesterfield, MO, is seeking a Data Scientist to analyze global commodity markets and develop predictive models using advanced statistics, econometrics and ML. You will work with economists, data engineers and traders to turn complex data into strategic insights that influence risk management and business decisions.

The role emphasizes collaboration, model reliability, and translating analytical results for senior leadership.