Job description

Cargill is a family company committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. We sit at the heart of the supply chain, partnering with producers and customers to source, make and deliver products that are vital for living. By providing customers with life’s essentials, we enable businesses to grow, communities to prosper, and consumers to live well. This position is in our Food Enterprise where we are committed to serving food manufacturers, food service customers, and retailers with a complete range of innovative ingredients and branded products. Our portfolio includes poultry, beef, egg, alternative protein, salt, oils, starches, sweeteners, cocoa and chocolate. Job Purpose and Impact The Senior AI & Data Science job plans and leads the development of artificial intelligence models from design and prototyping through deployed solutions to drive decision making. With minimal supervision, this role extracts and integrates complex data from various sources, builds advanced models suitable for the business use case and evaluates model performance for accuracy, scaling and deployment. This job also develops compelling and clear communication materials to facilitate partner on board. By leveraging diverse and expansive data sources, this role applies advanced forecasting, optimization, and machine learning techniques to transform how decisions are made across the supply chain. The Senior Professional accelerates AI adoption by partnering with business and technology teams. They work to embed models into core workflows, operationalizing data science to deliver sustained business impact. Key Accountabilities • DATA PREPARATION MANAGEMENT: Conducts extraction and integration of complex data from different data sources, analyses the ways in which datasets may be biased and applies mitigation strategies. • DATA ANALYSIS: Reviews complex data sets for exploratory data analysis to identify trends and patterns that inform business strategies across various areas. • MODEL DEVELOPMENT: Develops and deploys artificial intelligence models, including monitoring and evaluating ongoing performance to solve complex business problems and derive actionable insights. • AI ENGINEERING: Establishes software and artificial intelligence engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied generative artificial intelligence software solutions and incorporates security practices in newly developed and maintained applications. . • DOCUMENT & REPORTING: Documents development and code in ways that allow for support and knowledge sharing. • COMMUNICATION: Presents techniques and results to technical and non-technical audiences. • CONTINUOUS LEARNING: Examines existing and emerging artificial intelligence and optimization principles, theories, and techniques to develop and deploy artificial intelligence models into production, improving the organization's analytical capabilities. • STAKEHOLDER MANAGEMENT: Works closely with businesses to understand needs, and collaborates with cross functional teams to develop artificial intelligence models for digital applications. Qualifications • Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience. Preferred Qualifications: • Master’s degree or PhD in Applied Mathematics, Computer Science, Data Science, Operations Research, or a related field. • Deep experience leading the design, deployment, and scaling of applied AI/ML solutions that drive measurable business impact across complex value chains. • Advanced expertise in Machine Learning, Deep Learning, and/or Reinforcement Learning, including model governance, performance monitoring, and lifecycle ownership. • Recognized depth in forecasting and optimization, with a track record of influencing enterprise‑level decisions in pricing & commercial. #HiPo This role is not eligible for employer-sponsored work authorization now or in the future. This includes candidates whose work authorization is tied to a student visa, employer-sponsored visa, visa transfer, immigration petition, or other third-party sponsorship arrangement. Short Description The expected salary for this position is $105,000 - $160,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: cargill.com to learn more (subject to certain collective bargaining agreements for Union positions). Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law. Equal Opportunity Employer, including Disability/Vet To apply using chat/text, please click Apply Now button OR use this link to create a login to apply.

Requirements

Must-haves

Job Purpose and Impact
Key Accountabilities
DATA PREPARATION MANAGEMENT: Conducts extraction and integration of complex data from different data sources, analyses the ways in which datasets may be biased and applies mitigation strategies.
DATA ANALYSIS: Reviews complex data sets for exploratory data analysis to identify trends and patterns that inform business strategies across various areas.
MODEL DEVELOPMENT: Develops and deploys artificial intelligence models, including monitoring and evaluating ongoing performance to solve complex business problems and derive actionable insights.
DOCUMENT & REPORTING: Documents development and code in ways that allow for support and knowledge sharing.
COMMUNICATION: Presents techniques and results to technical and non-technical audiences.
STAKEHOLDER MANAGEMENT: Works closely with businesses to understand needs, and collaborates with cross functional teams to develop artificial intelligence models for digital applications.
Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.

Nice-to-haves

Master’s degree or PhD in Applied Mathematics, Computer Science, Data Science, Operations Research, or a related field.
Deep experience leading the design, deployment, and scaling of applied AI/ML solutions that drive measurable business impact across complex value chains.
Advanced expertise in Machine Learning, Deep Learning, and/or Reinforcement Learning, including model governance, performance monitoring, and lifecycle ownership.
Recognized depth in forecasting and optimization, with a track record of influencing enterprise‑level decisions in pricing & commercial.
Short Description
Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.
Equal Opportunity Employer, including Disability/Vet
To apply using chat/text, please click Apply Now button OR use this link to create a login to apply.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningml

Platform: radancy
Effort: medium

Benefits

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