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As 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.

• 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

This position is preferred to work from the Wayzata, MN headquarters location but could also work remote from a home-office location anywhere in the United States.

• Bachelors 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 Masters 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.

The expected annual salary for this position is $120,000-$140,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance.

At Cargill we put people first. 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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