Sr. Data Engineer
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The role
Role focuses on supporting Digital Quality teams by developing data analytics models and tools to analyze Quality and Inspection data and drive multiple digital projects.
You will work with manufacturing and quality processes, build data ecosystem know-how, and translate business needs into analytical solutions.
Responsibilities include developing and updating models with Python, training users, improving process performance, and ensuring data quality.
Tasks cover data source assessment, requirement analysis, data cleansing, preprocessing, validation, and applying machine learning techniques to build robust models.
You will monitor model performance, stay current with industry trends, and document guidelines and best practices.
This role requires strong communication to convey complex concepts to non-technical audiences and the ability to work independently or in teams while ensuring compliance with regulations.
You will work with manufacturing and quality processes, build data ecosystem know-how, and translate business needs into analytical solutions.
Responsibilities include developing and updating models with Python, training users, improving process performance, and ensuring data quality.
Tasks cover data source assessment, requirement analysis, data cleansing, preprocessing, validation, and applying machine learning techniques to build robust models.
You will monitor model performance, stay current with industry trends, and document guidelines and best practices.
This role requires strong communication to convey complex concepts to non-technical audiences and the ability to work independently or in teams while ensuring compliance with regulations.
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