Key Accountabilities
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 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
4+ years experience in Data Science, Machine Learning, AI, or Advanced Analytics
Experience working with large-scale datasets
Experience with ML 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
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
#HiP
Additional
The business will not sponsor applicants for work visas for this position
This position requires onsite (hybrid) presence at our Wayzata, MN Office Center
Additional Applicant Information
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 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: https://www.cargill.com/page/my-health/mh-health-and-wellness 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.
Equal Opportunity Employer, including Disability/Vet
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