Use data science techniques to assemble and connect data across sources including engineering, launch, quality, and supplier to compile the history of a part as it traverses through the Ford design, purchasing, sourcing, assembly, and quality processes
Create enablers to design common keys such as part numbers to link data across disparate data sources
Engineer KPIs, fuse data, and leverage data science techniques to identify data patterns that are typically associated with high warranty and/or high repair
Create methods to associate downstream warranty with upstream data to create early warning indicators for optimizing vehicle launch cost, timing and quality metrics
Translate results as job aid to design engineers and risk mitigation actions to high risk vehicle programs
Skills Required
Machine Learning
Python
Find more jobs at Ford Motor Company
Since 1903, we have helped to build a better world for the people and communities that we serve. Welcome to Ford Motor Company.
