Cargill is looking to uncover and enable differentiated, high-impact applications of artificial intelligence across the business to fuel competitive advantage and drive measurable outcomes.
Requirements
- Experience in a minimum of two machine learning algorithms approaches: unsupervised, supervised and reinforcement learning
- Experience working with continuous integration and delivery (CI/CD) pipelines
- Experience working with distributed computing frameworks
- Experience working with AWS
- Experience in software development environment and code management or versioning
Responsibilities
- Partners with business leaders to identify and accelerate AI opportunities through re-imagining how work is performed, embracing new and modern optimization techniques and changing the pace by which business value is realized.
- Translates complex AI capabilities into compelling business narratives, presenting to and influencing non-technical audiences and senior stakeholders to drive informed strategic decisions and foster confidence in AI-driven innovation.
- Provides strategic direction of product delivery to ensure scope, timeline and budget are prioritized and in compliance with related regulations and policies.
- Leads all aspects of ongoing efforts to guide and improve artificial intelligence and data science design & development practices, champions a culture of innovation and continuous improvement within the organization and partners with key team members to drive artificial intelligence literacy and adoption.
- Develops and sponsors a community of practice of global data scientists to drive reuse, awareness and alignment to further Cargill’s adoption and value through analytics solutions
- Presents and sells artificial intelligence solutions to non-technical audiences to influence strategic related decisions.
- Accountable for delivering measurable business outcomes from artificial intelligence investments, with responsibility for handling a significant budget and achieving defined value impact targets.
Other
- Bachelor’s degree in data science, computer science, math, engineering or related field or equivalent experience
- Minimum of eight years of related work experience
- Confirmed ability to present to non-technical audiences
- Master's degree or PhD in data science, computer science, math, engineering or related field
- Five years of experience leading teams
