Senior AI Data Scientist Pricing & Promotion

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 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. Theywork to embed models into core workflows operationalizing data science to deliver sustained business impact.

• 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 organizations 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.

• Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.

Preferred Qualifications:

• Masters 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 enterpriselevel decisions in pricing & commercial.

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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.

The expected salary for this position is $105000 - $160000. 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: 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.