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Job Information

Cargill Supply Chain Forecasting Senior Analyst in Wayzata, Minnesota

Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 160,000 employees who use new technologies, dynamic insights and over 154 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive.

Job Purpose and Impact

The Supply Chain Forecasting Senior Analyst will work collaboratively in multidisciplinary teams to define, develop, deploy and sustain complex supply chain digital solutions at scale. In this role, you will deploy predictive and optimization models for digital supply chain products that help deliver significant value to our customers, businesses and functions.

Key Accountabilities

  • Contribute to the design, development and deployment of forecasting solutions and lead new features modeling on designated Artificial Intelligence / Machine Learning platforms

  • Provide thought leadership and guidance across a wide range of use-cases and data science techniques.

  • Own supply chain data science efforts such as data analysis, model development, deployment, and monitoring.

  • Work on multidisciplinary teams of product owners, data engineers, software engineers, data scientists, and business subject-matter experts to deploy complex large-scale projects on time.

  • Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.

  • Other duties as assigned.


Minimum Qualifications

  • Bachelor’s degree in computer science, engineering, statistics, math OR related field OR equivalent experience

  • Minimum of four years of related work experience

  • Applied Machine Learning experience (could include the following techniques: regression analysis, time series, probabilistic models, supervised, classification and unsupervised learning)

  • Experience with prototyping languages (Python or R)

Preferred Qualifications

  • Master's degree or PhD in Computer science, Engineering, Operational Research, Math or related field

  • Three or more years of experience in Supply Chain Planning

  • Professional experience applying predictive models for Supply Chain solutions

  • Experience with timeseries forecasting (such as ARIMA, Prophet, DeepAR, etc.)

  • Experience with JavaScript or similar programming language

  • Strong mathematical background (including linear algebra, calculus, probability and statistics)


Equal Opportunity Employer, including Disability/Vet.

At Cargill, everyone matters and everyone counts. Cargill is committed to creating and sustaining an inclusive and diverse work environment where all employees are treated with dignity and respect. As such and in alignment with our Guiding Principles, Cargill's long-standing equal employment opportunity policy prohibits discrimination and harassment against any employee or applicant based on race, ethnicity, color, religion, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, age, disability, pregnancy, genetic information, marital status, family status, citizenship status, veteran status, military status, union affiliation, or any other status protected by law.

Cargill also complies with all applicable national and local laws and regulations pertaining to non-discrimination and employment.

Notice to Recruiters and Staffing Agencies: Cargill, Inc. and subsidiaries (“Cargill”) have an internal recruiting department. Please review this notice.

US Employment Resources: Equal Opportunity Employer, including Disability/Vet.