Senior Data Scientist, Research and Development
About The Position
Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living. Our 155,000 team members innovate with purpose, providing customers with life’s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing—today and for generations to come.Job Purpose and ImpactAs a Senior Data Scientist in Research and Development, your work will have a direct impact on efficient, sustainable food manufacturing solutions. This role will work collaboratively in multidisciplinary teams to develop complex proofs of concept, minimum viable products, and scale fully deployed solutions across multiple manufacturing facilities. In this role, you will create complex predictive and computer vision models that help deliver significant value to the company's businesses.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or a related field; or equivalent practical experience.
- Minimum of 4 years of relevant professional experience, OR 3 years experience with a Master’s degree, OR 2 years experience with a Ph.D. in a related discipline.
- Proficiency in Python programming.
- Hands-on experience developing computer vision models for image classification, object detection, and segmentation.
- Experience with computer vision tools, both traditional and deep learning, such as OpenCV, PyTorch, etc including transfer learning and fine-tuning deep learning models.
- Experience deploying ML models using a containerized deployment framework (Docker, Podman, etc).
- Proven ability to develop proofs of concept and scale them into full production solutions.
- Demonstrated ability to present complex concepts to non-technical audiences.
Nice To Haves
- Master's degree or PhD in data science, computer science, math, engineering or related field
- Solid understanding of Computer Vision fundamentals.
- Knowledge of MLOps practices for productionizing vision models.
- Experience scaling a production solution to multiple sites
- Experience working with continuous integration and delivery (CI/CD) pipelines
- Experience working with AWS
- Experience in manufacturing, supply chain, or agriculture
Responsibilities
- Work on multidisciplinary teams of data engineers, software engineers, data scientists and business subject matter experts to deliver complex projects on time and within budgets.
- 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.
- Continuously seek out best practices and develop skills.
- Create scalable structures to accelerate deployment to multiple facilities.
- Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
- Other duties as assigned
Benefits
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
