Sr. AI/Data Scientist - Food

Posted 24 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Food • Greentech • Logistics • Sharing Economy • Transportation • Agriculture • Industrial
Reimagining what's possible for food and agriculture
The Role
The Senior AI & Data Scientist will develop and deploy pricing models using machine learning, optimize model performance, and collaborate with teams to refine pricing strategies across global operations.
Summary Generated by Built In
Job Purpose and Impact
As Senior Professional, AI & Data Science , you will drive the development and deployment of advanced pricing solutions using cutting-edge machine learning and AI. You will leverage diverse data sources to create scalable, predictive models that directly influence business strategy and pricing decisions across Cargill's global operations. You will collaborate with product managers, pricing execution teams, and commercial stakeholders to enable value-based pricing through innovative ML prototypes.
Key Accountabilities
  • Design and Deploy ML Models: Implement pricing models to capture fundamental and non-fundamental factors in protein, food ingredient, and commodity markets.
  • Monitor and Optimize: Conduct benchmarking, back testing, and performance evaluation using real-time data and feedback loops to ensure model accuracy.
  • Explain and Adapt: Partner with pricing teams to validate proper model application and identify opportunities for continuous refinement.
  • Data Product SME: Collaborate with software development teams to design user-friendly pricing tools and dashboards for business-end users.
  • Scalable Infrastructure: Develop ML components that generalize across different product categories and external data sources to remain robust in dynamic markets.
  • Trend Integration: Stay current with emerging developments in GenAI, ML, and pricing strategy to integrate new techniques into existing practices.

Qualifications
  • Bachelor's degree in Data Science, Mathematics, Econometrics, Engineering, Statistics, Economics, Quantitative Finance, or a related quantitative field.
  • Minimum of 4 years of relevant AI/ data science experience (or an advanced degree in a related field).
  • Strong programming skills in Python with proficiency in libraries such as Pandas, NumPy, and scikit-learn.
  • Deep knowledge of statistical analysis, hypothesis testing, and data-driven decision-making.
  • Proven experience building, training, and validating ML models, including regression, classification, time series forecasting, and recommendation systems.

Top Skills

AI
Machine Learning
Numpy
Pandas
Python
Scikit-Learn

What the Team is Saying

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The Company
HQ: Wayzata, MN
155,000 Employees
Year Founded: 1865

What We Do

We are a family company providing food, ingredients, agricultural solutions and industrial products to nourish the world in a safe, responsible and sustainable way. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials— from eggs to edible oils, salt to skincare, feed to flooring. By providing customers with products that are vital for living, we help businesses grow, communities prosper and consumers live well in their daily lives.

Why Work With Us

The decision to join Cargill can open the door to a world of possibility. As part of our Digital, Technology & Data team, you’ll get to be part of a large and diverse group full of unique perspectives united by a common, higher purpose while building a rewarding career full of opportunity, growth and the satisfaction of knowing your work matters.

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