Data Scientist, Machine Learning

Bachelor's or higher degree, preferably master’s or Ph.D., in a relevant field (e.g., Data Science, Computer Science, Engineering, Statistics). 2+ years’ experience in building machine learning and/or forecasting models for academic/enterprise applications. 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.

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 to drive to and from customer or job sites, while safely operating a company-provided or personal vehicle and adhering to all traffic laws and safety regulations, including no handheld phone use while driving. Other duties as assigned.