Job Description
Location :St. Louis MO
City :Chesterfield
State :Missouri (US-MO)
Country :United States (US)
Requisition Number :40356
A Day in the Life:
The Data Scientist will be part of Bunge Food Solutions within the Commercial Solutions team. This position is responsible for developing advanced analytics solutions, leveraging machine learning models, and extracting actionable insights from complex datasets to optimize operations, report on business performance gaps, and identify growth opportunities for the commercial decision makers.
This role serves as a catalyst for transforming raw data into actionable intelligence sustainably, enabling stakeholders across commercial functions make informed decision that improve business performance; identify potential challenges and solution to address those challenges. Thus, this role will collaborate with cross-functional teams to ensure the effective integration of data analytics into business strategies to deliver measurable value and innovation in a dynamic, sustainability-focused industry.
What You'll Be Doing:
In the realm of our Bunge Food Solutions business, some of the more challenging aspects often revolve around handling large, convoluted datasets with varying degrees of accuracy/quality, adequacy, and completeness. Understanding the business processes is another critical pre-requisite to understand how the data is created and used. Additionally, navigating through complex relationships within the data and identifying meaningful patterns or insights can be a daunting task.
Data Analysis and Insight Generation
* Purpose: Improved commercial decision-making across functions
* Activities: Analyze large, complex datasets to identify trends, patterns, and opportunities that drive operational efficiency, product innovation, and business growth
Model Development and Implementation
* Purpose: enabling proactive decision-making, helping the organization stay competitive and adaptable
* Activities: Design, develop, and deploy scalable predictive models and machine learning algorithms to optimize processes. Maintain and refine models to improve accuracy and relevance to business
Continuous Improvement and Innovation
* Purpose: Enhancing efficiency and effectiveness of data, processes, and tools/systems.
* Activities: Stay abreast of emerging trends and technologies in data analytics, business processes, and tools/systematic solutions. Identify opportunities for process & system improvements and automations
Collaboration with stakeholders
* Purpose: Work closely with cross-functional teams to understand business needs and priorities, and to ensure alignment with business objectives
* Activities: Engage in regular discussions with stakeholders to gather requirements, clarify objectives, and present findings. Collaborate on projects to address business challenges and opportunities
Training and knowledge share
* Purpose: Foster a culture of data literacy, process ideation, and system efficiencies, empowering stakeholders to leverage data and systems to increase efficiencies.
* Activities: Provide training and support to stakeholders/team members on tools, dashboards, report, and systems. Share best practices, tips, and insights through workshops, documentation, and knowledge sharing sessions.
Travel Expectations: This position requires three to four domestic or international trips annually,
depending on project requirements
Skills/Experience Requirements:
* Master's degree in computer science, statistics, economics, agribusiness, mathematics, finance, or related field required. PHD Preferred
* Minimum 2-year experience in a data scientist position or 3-5 years in analyst position, with evidence of analytical contribution, preferably agribusiness or business systems background.
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
o 0 - 9 years: 25 days
o 10 - 19 years: 30 days
o 20+ years: 35 days
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. Veterans/Disabled
Location :St. Louis MO
City :Chesterfield
State :Missouri (US-MO)
Country :United States (US)
Requisition Number :40356
A Day in the Life:
The Data Scientist will be part of Bunge Food Solutions within the Commercial Solutions team. This position is responsible for developing advanced analytics solutions, leveraging machine learning models, and extracting actionable insights from complex datasets to optimize operations, report on business performance gaps, and identify growth opportunities for the commercial decision makers.
This role serves as a catalyst for transforming raw data into actionable intelligence sustainably, enabling stakeholders across commercial functions make informed decision that improve business performance; identify potential challenges and solution to address those challenges. Thus, this role will collaborate with cross-functional teams to ensure the effective integration of data analytics into business strategies to deliver measurable value and innovation in a dynamic, sustainability-focused industry.
What You'll Be Doing:
In the realm of our Bunge Food Solutions business, some of the more challenging aspects often revolve around handling large, convoluted datasets with varying degrees of accuracy/quality, adequacy, and completeness. Understanding the business processes is another critical pre-requisite to understand how the data is created and used. Additionally, navigating through complex relationships within the data and identifying meaningful patterns or insights can be a daunting task.
Data Analysis and Insight Generation
* Purpose: Improved commercial decision-making across functions
* Activities: Analyze large, complex datasets to identify trends, patterns, and opportunities that drive operational efficiency, product innovation, and business growth
Model Development and Implementation
* Purpose: enabling proactive decision-making, helping the organization stay competitive and adaptable
* Activities: Design, develop, and deploy scalable predictive models and machine learning algorithms to optimize processes. Maintain and refine models to improve accuracy and relevance to business
Continuous Improvement and Innovation
* Purpose: Enhancing efficiency and effectiveness of data, processes, and tools/systems.
* Activities: Stay abreast of emerging trends and technologies in data analytics, business processes, and tools/systematic solutions. Identify opportunities for process & system improvements and automations
Collaboration with stakeholders
* Purpose: Work closely with cross-functional teams to understand business needs and priorities, and to ensure alignment with business objectives
* Activities: Engage in regular discussions with stakeholders to gather requirements, clarify objectives, and present findings. Collaborate on projects to address business challenges and opportunities
Training and knowledge share
* Purpose: Foster a culture of data literacy, process ideation, and system efficiencies, empowering stakeholders to leverage data and systems to increase efficiencies.
* Activities: Provide training and support to stakeholders/team members on tools, dashboards, report, and systems. Share best practices, tips, and insights through workshops, documentation, and knowledge sharing sessions.
Travel Expectations: This position requires three to four domestic or international trips annually,
depending on project requirements
Skills/Experience Requirements:
* Master's degree in computer science, statistics, economics, agribusiness, mathematics, finance, or related field required. PHD Preferred
* Minimum 2-year experience in a data scientist position or 3-5 years in analyst position, with evidence of analytical contribution, preferably agribusiness or business systems background.
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
o 0 - 9 years: 25 days
o 10 - 19 years: 30 days
o 20+ years: 35 days
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. Veterans/Disabled
About Bunge
At Bunge (www.bunge.com, NYSE: BG), our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world.
With more than two centuries of experience, unmatched global scale and deeply rooted relationships, we work to put quality food on the table, increase sustainability where we operate, strengthen global food security, and help communities prosper.
As the world’s leader in oilseed processing and a leading producer and supplier of specialty plant-based oils and fats, we value our partnerships with farmers to improve the productivity and environmental efficiency of agriculture across our value chains and to bring quality products from where they’re grown to where they’re consumed.
At the same time, we collaborate with our customers to create and reimagine the future of food, developing tailored and innovative solutions to meet evolving dietary needs and trends in every part of the world.
Our Company is headquartered in St. Louis, Missouri, and we have more than 23,000 dedicated employees working across more than 350 facilities located in more than 40 countries.
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