Senior AI/ Data Scientist - Pricing & Promotion

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.

This role 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.

Data Preparation Management

Counsels 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.

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 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.

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: https://www.cargill.com/page/my-health/mh-health-and-wellness to learn more (subject to certain collective bargaining agreements for Union positions).

Mining and manufacturing workers in Minnesota accrue one hour of Minnesota Sick and Safe Leave for every 30 hours worked, up to 48 hours per calendar year unless otherwise provided by law.

Equal Opportunity Employer, including Disability/Vet