The successful candidate will help guide strategy and work with ML research scientists across WRDM to enable our proprietary data and external datasets to be leveraged for ML modeling. This will be accomplished by designing and implementing end-to-end data workflows for large-scale data ingestion, processing, tagging, and publishing, with an eye towards improving ML model performance over time
Requirements:
Formal training in Computer Science, Statistics, Applied Mathematics, Chemistry, Physics, a life science discipline, related technical discipline, or relevant practical experience; Demonstrated ability for strategy development in the data engineering field. With the ability to lead an internal or external matrix team; 6+ years experience programming experience in Python, Java, Scala, C++, or SQL; 6+ years experience in software design, development, and algorithm-related solutions for production-grade systems using machine learning
Text:
Senior Machine Learning (ML) Data Engineer The successful candidate will help guide strategy and work with ML research scientists across WRDM to enable our proprietary data and external datasets to be leveraged for ML modeling. This will be accomplished by designing and implementing end-to-end data workflows for large-scale data ingestion, processing, tagging, and publishing, with an eye towards improving ML model performance over time Formal training in Computer Science, Statistics, Applied Mathematics, Chemistry, Physics, a life science discipline, related technical discipline, or relevant practical experience; Demonstrated ability for strategy development in the data engineering field. With the ability to lead an internal or external matrix team; 6+ years experience programming experience in Python, Java, Scala, C++, or SQL; 6+ years experience in software design, development, and algorithm-related solutions for production-grade systems using machine learning
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