Senior AI/Data Scientist (MSP)
Not Disclosed•Full-TimeOn-site
location_onChicago Avenue North, Wayzata, Hennepin County, Minnesota, 55391, United States
About Cargill
Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make, and deliver products that are vital for living. Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing—today and for generations to come.
About the Role
The Senior AI & Data Science role is designed to plan and lead the development of artificial intelligence models from design and prototyping through to deployed solutions that drive decision-making. This position exists to accelerate AI adoption by leveraging diverse and expansive data sources to apply advanced forecasting, optimization, and machine learning techniques. The goal is to transform how decisions are made across the supply chain and operationalize data science to deliver sustained business impact.
In this role, you will partner with business and technology teams to embed models into core workflows. You will extract and integrate complex data from various sources, build advanced models suitable for specific business use cases, and evaluate model performance for accuracy, scaling, and deployment. A key part of your day involves developing compelling communication materials to facilitate partner onboarding and presenting techniques and results to both technical and non-technical audiences. You will also work to establish software and AI engineering patterns, ensuring security practices are incorporated into newly developed applications while maintaining a focus on continuous learning and emerging AI principles.
Work location
Work model: On-site
Chicago Avenue North, Wayzata, Hennepin County, Minnesota, 55391, United States
Wayzata, Minnesota
Key Responsibilities
- check_circleDesign and deploy artificial intelligence models from prototyping to production
- check_circleConduct exploratory data analysis to identify trends and inform business strategies
- check_circleExtract and integrate complex data from diverse sources while mitigating bias
- check_circlePresent technical techniques and results to both technical and non-technical audiences
- check_circleCollaborate with cross-functional teams to embed AI models into core business workflows
- check_circleMonitor and evaluate model performance for accuracy, scaling, and operational deployment
- check_circleEstablish AI engineering patterns for developing, testing, and maintaining generative AI solutions
- check_circleDocument development processes and code to support knowledge sharing and maintenance
Requirements
- verified4 years of relevant work experience
- verifiedMaster's degree or PhD in Applied Mathematics, Computer Science, Data Science, Operations Research, or related field
- verifiedDeep experience leading design, deployment, and scaling of applied AI/ML solutions
- verifiedAdvanced expertise in Machine Learning, Deep Learning, and/or Reinforcement Learning
- verifiedExperience with operations research planning, scheduling and capacity problems
Nice to Have
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 across supply chain, trading, or operations. Experience with operations research planning, scheduling and capacity problems.
Benefits & Perks
check_circleMinnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar yearcheck_circleEligibility for a discretionary incentive award dependent on company and personal performancecheck_circleComprehensive benefit program including medical and other benefits dependent on position and hours worked
