Data Scientist, Machine Learning

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Requirements:

• Experience implementing a breadth of different modelling approaches/ techniques in machine learning.
• Experience manipulating and preparing large data sets to support advanced analytics.
• Demonstrated ability to iteratively conceptualize, design and build data pipelines.
• Hands on experience with common analysis and version control tools (SQL, Python, GitHub).
• Demonstrable familiarity with code and programming concepts.
• Familiarity with cloud-based technologies such as AWS is a plus.

Responsibilities:

• Projects involving machine learning (ML) models in applications areas, estimating the performance gain and building a case for further development.
• Build machine learning components for the Ever.Ag Data Science application platform.
• Help configure and deploy ML models in customer implementations.
• Help support pre-existing customer implementations.
• Utilize statistical analysis to identify trends in customer and market data.
• Collaborate on project data requirements, gather and validate information, and apply judgment and statistical tests to devise problem-solving actions.
• Perform tests to ensure the accuracy of the models.
• Work with existing tools and modeling techniques to solve the problem at hand. Work with a team of services professionals to deliver high-value products in a Software as a Service (SaaS) environment.
• Report to the customer leadership teams on solutions and assist with decision making.
• Potential for travel to customer sites.
• Other duties as assigned.