
10,000+ employees
🏥 Healthcare
📦 Logistics
🏭 Manufacturing
Healthcare • Logistics • Manufacturing
Ingredion Incorporated is a leading global ingredient solutions provider headquartered in the suburbs of Chicago. Serving customers in over 120 countries, the company specializes in transforming grains, fruits, vegetables, and other plant-based materials into value-added ingredient solutions for various markets, including food, beverage, animal nutrition, and industrial sectors. With around 12,000 employees, Ingredion harnesses the potential of people, nature, and technology to enhance life, operating numerous innovation centers worldwide to co-create with customers and meet their ingredient needs.
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10,000+ employees
🏥 Healthcare
📦 Logistics
🏭 Manufacturing
Healthcare • Logistics • Manufacturing
Ingredion Incorporated is a leading global ingredient solutions provider headquartered in the suburbs of Chicago. Serving customers in over 120 countries, the company specializes in transforming grains, fruits, vegetables, and other plant-based materials into value-added ingredient solutions for various markets, including food, beverage, animal nutrition, and industrial sectors. With around 12,000 employees, Ingredion harnesses the potential of people, nature, and technology to enhance life, operating numerous innovation centers worldwide to co-create with customers and meet their ingredient needs.
• Lead data science initiatives within the Digital Operations team across Supply Chain, Manufacturing, and Quality • Manage and mentor citizen data scientists through all phases of data science projects • Collaborate with cross-functional teams to design, scope, and prioritize projects • Define data collection methods, modeling techniques, and expected outcomes • Manage projects from initiation through completion and refine models as business needs evolve • Develop and maintain governance principles and best practices • Build predictive, prescriptive, machine learning, simulation, and statistical models • Perform data discovery using advanced machine learning and statistical techniques • Lead scalable data pipeline development and integrate model performance management tools • Access, integrate, clean, transform, and preprocess data from SQL databases and other systems • Apply clustering, PCA, classification, regression, and unsupervised learning techniques • Collaborate with IT and data engineering teams to deploy and monitor production ML models • Establish best practices for ML production infrastructure • Monitor and refine deployed models to maintain business alignment • Communicate findings, insights, and recommendations to stakeholders • Identify and prioritize AI/ML opportunities aligned with operational goals • Stay current with data science, machine learning, and AI advancements and integrate applicable innovations
• Bachelor’s Degree in Business, Management Information Systems, Data Science, or a related field required • Master’s Degree in Data Science strongly preferred • Proven experience leading and managing citizen data scientists • Specialization in ML, AI, cognitive science, or data science • Knowledge and application of agile methodologies • Experience applying ML and data science to business functions such as forecasting, production planning, financial risk analytics, logistics, marketing analytics, and warehouse management • Proven experience launching significant data science projects • Ability to develop and execute strategies supporting business objectives • Strong written and oral communication skills and ability to communicate at all organizational levels • Ability to travel up to 20%
• Globally connected team and multinational-company environment • Professional opportunities and advancement opportunities • Welcoming and collaborative environment • Career development in a dynamic, team-driven culture • Diversity, inclusion, and belonging initiatives • Disability accommodations throughout the hiring and selection process • Employee referral process • Job alerts and Talent Community opportunities
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