Job Description

Job Purpose and Impact



The R&D Senior Data Scientist will work collaboratively in multidisciplinary teams to develop complex proof of concepts, minimum viable products and fully deployable solutions. In this role, you will create complex predictive and optimization models that help deliver significant value to the company's 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 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.

Independently handle complex issues with minimal supervision, while escalating only the most 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,

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 Disclaimer



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