Senior Data Scientist – Research and Development

Cargill

Senior Data Scientist at Cargill developing sustainable food manufacturing solutions through data analysis and model development. Collaborating with multidisciplinary teams to create impactful solutions across multiple facilities.

Posted 7/8/2026full-timeRemote • Minnesota • 🇺🇸 United StatesSenior💰 $120,000 - $140,000 per yearWebsite

Tech Stack

Tools & technologies

AWSDockerPythonPyTorch

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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 (preferred).
Solid understanding of Computer Vision fundamentals (preferred).
Knowledge of MLOps practices for productionizing vision models (preferred).
Experience scaling a production solution to multiple sites (preferred).
Experience working with continuous integration and delivery (CI/CD) pipelines (preferred).
Experience working with AWS (preferred).

Benefits

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data ScienceMachine LearningImage ClassificationObject DetectionSegmentationTransfer LearningDeep LearningContinuous IntegrationContinuous DeliveryProofs of Concept Development

Soft Skills

Problem SolvingCommunicationTeam CollaborationIndependencePresentation Skills

Certifications

Bachelor's Degree in Data ScienceMaster's Degree in Data SciencePhD in Data Science