Data Scientist, Senior

Cargill • Shorewood, MN

3d • $105,000 - $160,000 • 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, this role extracts and integrates complex data from multiple sources, develops advanced models suited to business use cases, and evaluates their accuracy, scalability, and deployment readiness. The role also creates clear communication materials to facilitate partner onboarding.

Using diverse data sources, the Senior Data Scientist applies forecasting, optimization, and machine-learning techniques to transform decision-making across the supply chain. The role accelerates AI adoption by partnering with business and technology teams and embedding models into core workflows to deliver sustained business impact. This position is in Cargill’s Food Enterprise, which serves food manufacturers, food-service customers, and retailers with ingredients and branded products.

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; assess datasets for bias and apply mitigation strategies.
• Conduct exploratory analysis of complex datasets to identify trends and patterns that inform business strategies.
• Develop and deploy artificial intelligence models to solve complex business problems and generate actionable insights.
• Monitor and evaluate model performance on an ongoing basis.
• Establish software and AI engineering patterns and principles to design, develop, test, integrate, maintain, and troubleshoot generative AI software solutions; incorporate security practices into applications.
• Document development work and code to support maintenance and knowledge sharing.
• Present techniques and results to technical and non-technical audiences.
• Examine emerging AI and optimization principles, theories, and techniques and deploy models into production to improve organizational analytical capabilities.
• Work with business stakeholders to understand needs and collaborate with cross-functional teams on AI models for digital applications.
• Develop clear communication materials to facilitate partner onboarding and embed models into core workflows.

Benefits

• Comprehensive benefit program, including medical and/or other benefits depending on the position offered and hours worked.
• Eligibility for a 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