Location : St. Louis MO 

City : Chesterfield 

State : Missouri (US-MO) 

Country : United States (US) 

Requisition Number : 33789 

At Bunge, people don’t just come here to work, they come here to grow – solving challenges that directly impact the world with a diverse and talented team working to make us the most innovative and dynamic company in our industry.  

We offer competitive compensation, flexible work arrangements, and opportunity to progress.  Our hybrid work environment provides a balance of in office and remote work.  Most importantly, in all we do we live our values: 

•    Act as One Team by fostering inclusion, collaboration, and respect 

•    Drive for Excellence by being agile, innovative, and efficient 

•    Do What's Right by acting safely, ethically, and sustainably 
 

Position Summary:

The Data Scientist will be an integral part of the Bunge Economic Analysis team analyzing large Bunge internal and publicly available data sets and developing advanced modelling techniques using best practices in statistical modeling and machine learning for advancing the Global economic research functions in forecasting market dynamics inclusive of crop production, pricing and customer behavioral analysis globally.

Core Functions:

• Work in a cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts.
• Gain in-depth understanding of business problems from subject-matter expects and identify and analyze the relevant variables that affect global commodity markets and their components;
• Translate business problems into data-driven analytics / machine-learning tasks and swiftly develop and deploy high-performance and resilient machine learning based solutions.
• Develop predictive models using machine learning, statistical and econometric tools.
• Monitor the performance of machine learning based solutions to ensure business impact.
• Design strategies and implement algorithms to analyze and leverage data, assessing the effectiveness and accuracy of data sources to be used as inputs to developing global models.
• Present findings to a large group of business users; effectively summarize and communicate results to the global group for risk management.

Skill/Experience Requirements:

• Minimum MS degree in a quantitative field (physics, statistics, engineering, computer science, math, econometrics, etc.).
• Three or more years of research or industry experience in machine learning, pattern recognition, time series analysis, deep learning, and related data-driven fields.
• Expertise in programming or statistical language, such as Python, R. Proficiency in analytical packages such as Pandas, Numpy, Sci-kit Learn, Statsmodels, PyTorch, or Tenserflow.
• Intellectually curious and creative, willing to share knowledge, and adaptive to new techniques.
• Strong communication skills, critical thinking, attention to detail, and business acumen.
• Solid foundation in mathematics and statistical modeling to be able to solve complex business problems via statistical models, machine learning algorithms, etc.

Preferred Experience/Skills:

•           Direct industry or educational experience in agricultural economics.

•           Understanding of agronomy, weather, remote sensing, GIS, economics, and finance

•           Publication on top journals and conferences

•           Experience with large-scale database and distributed computing

•           Participation in open source community

Bunge (NYSE: BG) is a world leader in sourcing, processing and supplying oilseed and grain products and ingredients. Founded in 1818, Bunge’s expansive network feeds and fuels a growing world, creating sustainable products and opportunities for more than 70,000 farmers and the consumers they serve across the globe. The company is headquartered in St. Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world.

Bunge is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, transgender status, national origin, citizenship, age, disability or military or veteran status, or any other legally protected status.  Bunge is an Equal Opportunity Employer. Minorities/Women/Veterans/Disabled