Data Scientist - Deep Learning

Company: Rose International
Location: Home, Kansas, United States
Type: Full-time
Posted: 14.AUG.2021

Summary

**s and those authorized to work in the U.S. can be considered as W2 candidates.** Location: Creve Coeur, MO 631418/Remote Duration: 12 mont...

Description

**s and those authorized to work in the U.S. can be considered as W2 candidates.**
Location: Creve Coeur, MO 631418/Remote
Duration: 12 months
Data Scientist - Deep Learning
We have an opportunity available for Data Scientist - Deep Learning to join our team. Our team works directly with scientists to develop software platforms that enable cutting-edge research and development to revolutionize plant breeding and biotechnology, optimize supply chain operations and deliver the best customer experience.
The successful candidate will use the latest innovations in deep learning and machine learning to propose software solutions to optimize supply chain operations. The Data Scientist will design and test algorithms, conduct prototyping to evaluate possible scenarios leveraging computational and statistical techniques for the development of novel approaches.
Required Skills:
•Experience: You have a PhD or a Master's degree with optimally 4 years of academic or industrial experience
•Deep learning & Machine learning: You are an expert in deep learning. You have deep understanding of the theory, modeling strategies, limitations, and pitfalls. You are also familiar with other machine learning algorithms
•Programming: You are proficient in Python or other high level programming language. You are also capable of writing clean code.
•Soft skills: You have a high sense of ownership and are motivated to deliver valuable analysis. You have excellent communication skills and can clearly explain technical concepts to non-experts
Desired Skills:
•Experience working with agricultural/biological scientific data is highly desired
•Drive for translating business problems into research initiatives that deliver business value
•Creativity in defining challenging exploratory projects - provided by Dice

 
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