Global Commodity Data Scientist: Econometrics & ML

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

Benefits offered by this job

Health insurance

Retirement plan

Paid vacation/holidays

Job summary

Bunge is hiring a Data Scientist in Chesterfield, MO. The role focuses on leveraging statistical modeling, econometrics, and machine learning to analyze vast datasets and forecast global commodity market dynamics.

You will work within the Economic Analysis team to develop predictive models affecting trading and risk decisions. You will collaborate across economists, market analysts, and data engineers to translate business challenges into data-driven solutions, deploying high-performance models

Qualifications

• Requires MS degree in a quantitative field such as Economics, Agricultural Economics, Statistics, Computer Science, Quantitative Finance or related.
• Minimum 2 years in a Data Scientist or similar quantitative role, preferably in economic analysis or commodity trading environment.
• Proficient in Python for data manipulation, statistical analysis, ML and visualization; strong SQL skills.

Responsibilities

• Collaborate with economists, market analysts, data engineers, and business leaders to translate business challenges into data science problems.
• Develop and deploy high-performance predictive models using ML, statistics, and econometrics techniques.
• Design analytical strategies to leverage diverse data sources for global economic models.
• Monitor and refine deployed ML solutions to ensure accuracy and business impact.
• Communicate findings and model insights to senior leadership and business units.

Skills

Python

SQL

Econometrics

Machine Learning

Time Series

Communication

Cloud

Education

MS in Economics/Statistics/CS

Tools

TensorFlow

Google Cloud Platform

AWS

Job description

Bunge is hiring a Data Scientist in Chesterfield, MO. The role focuses on leveraging statistical modeling, econometrics, and machine learning to analyze vast datasets and forecast global commodity market dynamics.

You will work within the Economic Analysis team to develop predictive models affecting trading and risk decisions. You will collaborate across economists, market analysts, and data engineers to translate business challenges into data-driven solutions, deploying high-performance models