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About
Collaborate with teams to design and maintain feature store architecture for various use cases Identify and engineer high-quality features from raw data sources using statistical analysis Partner with stakeholders to promote feature reuse, define governance standards, and ensure data consistency
Required Qualifications:
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field 3+ years of experience in data science, data engineering, or MLOps roles 1+ years of experience in the healthcare industry or familiarity with healthcare claims and clinical decision-making Strong programming skills in Python, R, and SQL Experience with data processing frameworks and feature store technologies is preferred
Languages
- English
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