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Data Scientist

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Job ID 124205 Date posted 06/17/2021 Location : Schiphol, Netherlands

Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 160,000 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 R&D Data Scientist will work collaboratively in multidisciplinary teams to develop proof of concepts, minimum viable products and fully deployable solutions. In this role, you will create predictive and optimization models that help deliver significant value to our businesses and functions.

Key Accountabilities

  • Continuously seek out best practices and develop skills.
  • Work on multidisciplinary teams of data engineers, software engineers, data scientists, and business subject-matter experts to deliver projects on time and within budgets.
  • Translate ambiguous business problems into project charters clearly identifying technical risks and project scope.
  • Take ownership for the entire data science workflow including well defined project scoping, exploratory data analysis, model development, deployment and monitoring.
  • Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.
  • Other duties as assigned

Qualifications

Minimum Qualifications

  • Bachelor's degree in data science, computer science, math, engineering or related field or equivalent experience,
  • Minimum of two years of related work 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

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
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