Bunge · 3 hours ago
Data Scientist
Chesterfield, MO
Full-time
Onsite
Mid, Senior Level
5+ years expBunge is a premier agribusiness solutions provider, and they are seeking a Data Scientist to join their Economic Analysis team. This role involves leveraging advanced statistical modeling, econometrics, and machine learning to analyze large datasets and develop predictive models that inform global commodity market dynamics.
Food Processing
Responsibilities
Collaborate effectively within cross-functional teams, including economists, market analysts, data engineers, and business leaders, to translate complex business challenges into solvable data science problems
Translate complex business problems into data-driven analytics and machine learning tasks, then design, develop, and swiftly deploy high-performance, resilient predictive models using a range of machine learning, statistical, and econometric techniques
Design and implement advanced analytical strategies and algorithms to extract, analyze, and leverage diverse data sources. Critically assess the effectiveness, accuracy, and suitability of various data inputs for global economic models
Rigorously monitor, evaluate, and refine the performance of deployed machine learning solutions to ensure sustained accuracy and measurable business impact
Clearly and effectively communicate complex analytical findings, model insights, and strategic recommendations to diverse audiences, including senior leadership, traders, and business units, supporting informed decision-making and global risk management
Qualification
Required
Minimum MS degree in Economics, Agricultural Economics, Statistics, Computer Science, Quantitative Finance, Business Analytics, or a closely related quantitative field
Minimum 2-year of professional experience in a Data Scientist or similar quantitative role, preferably within an economic analysis, commodity trading, financial services, or agribusiness environment
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 (e.g., time series analysis, causal inference), and machine learning algorithms (e.g., 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 or methods in a precise and clear manner
Detail-oriented, proactive, self-motivated, build work relationships, and able to work both independently and collaboratively in a fast-paced, dynamic global environment
5+ years of industry work experience in Data Science fields
Preferred
Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep learning for statistical modeling
Experience with big data technologies and cloud-based data platforms and products (e.g., Google Cloud Platform, AWS)
Familiarity with MLOps practices for deploying, monitoring, and maintaining machine learning models in production
Specific knowledge of agricultural commodity markets (e.g., grains, oilseeds, biofuels), agronomics, etc
Benefits
Health Benefits – Offering choices so you can enroll in medical, dental and vision to meet your individual needs
401(k) – Investing in your future with an automatic 5% company contribution AND matching up to 4% of your contributions.
Family Support – Supporting new and growing families by providing 6 weeks of 100% paid parental leave and fertility coverage.
Tuition Reimbursement – Contributing to your education by reimbursing $5,000 of tuition expenses annually.
Time Off – Providing generous PTO based on professional work experience
Company
Bunge
Bunge is a global agribusiness and food company operating in the farm-to-consumer food chain. It is a sub-organization of Biodiesel Bilbao.
10001+ employees
H1B Sponsorship
Bunge has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2023 (2)
2021 (2)
2020 (3)
Funding
Current Stage
Public CompanyTotal Funding
$5.05B2025-07-31Post Ipo Debt· $1.3B
2024-09-10Post Ipo Debt· $2B
2021-12-16Post Ipo Debt· $1.75B
Leadership Team
Robert Zandoli
Global Chief Information Security Officer & Chief Technology Officer
Julio Garros
Chief Operating Officer
Recent News
EIN Presswire
2025-12-18
2025-12-16
MarketScreener India
2025-12-15
Company data provided by crunchbase