Global Agricultural Data Scientist for Economic Insights

Missouri Ag Connection; Chesterfield (MO); Híbrido; USD 120.000 - 170.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health plans

Retirement plan

Paid vacation/holidays

Descripción de la vacante

Bunge is seeking a Data Scientist to join its Economic Analysis team in Chesterfield, MO. You will build predictive models using Python, ML, and econometrics to forecast global commodity trends and inform trading and risk decisions.

The role requires a MS degree and at least 2 years of experience in a quantitative field, with strong Python and SQL skills, and experience in data visualization and communicating insights to leadership.

Formación

• MS degree in a quantitative field relevant to data science or analytics.
• Minimum 2 years of professional data science experience in economic analysis, commodity trading, finance, or agribusiness.

Responsabilidades

• Collaborate with economists, market analysts, data engineers, and leaders to translate business challenges into data science problems.
• Design and deploy high-performance predictive models using ML, statistics, and econometrics.
• Develop analytical strategies to extract insights from diverse data sources and assess model inputs.

Conocimientos

Python proficiency

SQL proficiency

Statistics knowledge

Machine learning

Educación

MS in Economics/Ag Economics/Statistics/CS/Quant Finance/Business Analytics

Herramientas

TensorFlow

scikit-learn

statsmodels

NumPy

Descripción del empleo

Bunge is seeking a Data Scientist to join its Economic Analysis team in Chesterfield, MO. You will build predictive models using Python, ML, and econometrics to forecast global commodity trends and inform trading and risk decisions.

The role requires a MS degree and at least 2 years of experience in a quantitative field, with strong Python and SQL skills, and experience in data visualization and communicating insights to leadership.