Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 155,000 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 Senior Data Scientist will work collaboratively in multidisciplinary teams to develop complex proof of concepts, minimum viable products and fully deployable solutions. In this role, you will create complex predictive and optimization models that help deliver significant value to the company's businesses and functions. Key Accountabilities
Continuously seek out best practices and develop skills.
Translate ambiguous and complex business problems into project charters clearly identifying technical risks and project scope.
Take ownership for the entire data science workflow that includes a well defined, complex project scope, exploratory data analysis, model development, deployment and monitoring.
Independently handle complex issues with mínimal supervision, while escalating only the most complex issues to appropriate staff. Qualifications
Minimum Qualifications
Bachelor's degree in data science, computer science, math, engineering or related field or equivalent experience,
Confirmed ability to present to non technical audiences
Strong python programming skills
Experience in a minimum of two machine learning algorithms approaches: unsupervised, supervised and reinforcement learning
Minimum of four years of related work experience Preferred Qualifications
Master's degree or PhD in data science, computer science, math, engineering or related field
Strong data visualization skills
Strong SQL skills
Experience working with continuous integration and delivery (CI/CD) pipelines
Experience working with Hadoop and other distributed computing frameworks
Experience working with AWS
Experience in software development environment and code management or versioning
Experience in agriculture