Data Scientist, Senior

Cargill • Wayzata, MN

15d • Hybrid

About The Position

The Data Scientist, Senior plans and leads the development of artificial intelligence models, from design and prototyping through deployment, to support decision-making. With minimal supervision, the role extracts and integrates complex data from multiple sources, builds advanced models suited to business use cases, and evaluates model accuracy, scalability, and deployment readiness. The position also develops clear communication materials to support partner onboarding.

Using diverse data sources, the role applies advanced forecasting, optimization, and machine learning techniques to transform supply-chain decision-making. The Senior Professional accelerates AI adoption by partnering with business and technology teams, embedding models into core workflows, and operationalizing data science to deliver sustained business impact.

Requirements

• At least 4 years of experience in data science, machine learning, AI, or advanced analytics.
• Experience working with large-scale datasets.
• Experience with machine-learning frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or equivalent.
• Knowledge of data visualization and analytical storytelling.
• Experience with Python, SQL, R, or similar analytical languages.

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 and commercial areas.

Responsibilities

• Extract and integrate complex data from different sources; analyze datasets for potential bias and apply mitigation strategies.
• Conduct exploratory analysis of complex datasets to identify trends and patterns that inform business strategies.
• Develop and deploy AI models, monitoring and evaluating ongoing performance to solve complex business problems and derive actionable insights.
• Establish software and AI engineering patterns and principles for designing, developing, testing, integrating, maintaining, and troubleshooting complex generative AI software solutions; incorporate security practices into developed and maintained applications.
• Document development work and code to support ongoing maintenance and knowledge sharing.
• Present techniques and results to technical and non-technical audiences.
• Evaluate existing and emerging AI and optimization principles, theories, and techniques, and use them to develop and deploy production AI models that improve organizational analytical capabilities.
• Work with business stakeholders to understand needs and collaborate with cross-functional teams on AI models for digital applications.
• Partner with business and technology teams to embed models into core workflows and operationalize data science.

Benefits

• Comprehensive benefit program, including medical and/or other benefits depending on the position offered and hours worked.
• Discretionary incentive award dependent on company and personal performance.
• Minnesota Sick and Safe Leave accruals of one hour for every 30 hours worked, up to 48 hours per calendar year unless otherwise provided by law.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed