Note: The job is a remote job and is open to candidates in USA. Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. As a Senior Data Scientist in Research and Development, your work will have a direct impact on efficient, sustainable food manufacturing solutions, collaborating in multidisciplinary teams to develop complex proofs of concept and scale solutions across multiple manufacturing facilities.
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
Skills
- 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
- 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
Benefits
- Eligible for a discretionary incentive award
- Comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked
- 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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