Ever.Ag · 2 days ago
Data Scientist - Machine Learning
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Responsibilities
Conduct research and build machine learning (ML) models in new application areas, estimating 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
Utilize statistical analysis to identify trends in customer and market data
Define 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
Select the right tools and modeling techniques to solve the problem at hand
Work with a team of services professionals to deliver high-value products in a SaaS environment
Advise customer leadership teams on solutions and assist with decision making
Some travel to customer sites -15%
Qualification
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Required
Bachelor's or higher degree in a relevant field (e.g., Data Science, Computer Science, Engineering, Statistics)
Typically, 3+ years' experience in building machine learning models for enterprise applications
Advanced experience implementing a breadth of different modelling approaches/ techniques in machine learning
Advanced experience manipulating and preparing large data sets to support advanced analytics
Demonstrated ability to iteratively conceptualize, design and build data-driven analytical models
Hands on experience with common analysis tools (SQL and Python)
Demonstrable familiarity with code and programming concepts
Familiarity with cloud-based technologies such as AWS, Azure, or Google Cloud Platform
Collaborative, open, and respectful working style
Company
Ever.Ag
EverAg is a agtech provider dedicated to empowering agriculture, food, and beverage supply chains to feed a growing world. It is a sub-organization of ever.ag.
H1B Sponsorship
Ever.Ag has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (1)
Funding
Current Stage
Late StageTotal Funding
unknown2019-08-01Series Unknown· Undisclosed
Leadership Team
Mike Borman
Chief Product Officer
Recent News
2023-01-05
2022-06-12
Company data provided by crunchbase