Tech Stack
AssemblyCloudGoogle Cloud Platform
About the role
- Work with the PD Design and Release team on Ford Specific Guidelines
- Drive continuous improvement and support cross-functional matched pair initiatives as required
- Drive robust Failure Mode Avoidance through Chat GPT, Quality AI and RD Mapping
- Accelerate the application of value-added analytics and machine learning into the portfolio of products for Manufacturing Analytics
- Work hands-on with the team and other partners to deliver solutions that meet our customer's requirements and needs
- Act as a consultant to the business vs. an order taker
- Balance doing it right with speed to delivery by identifying and mitigating risk, generating options, educating business and other decision makers, and taking on justified technical debt
- Lead meetings for continuous improvement external and internal quality actions
- Investigate feasibility of innovative technology solutions for external and internal quality concerns
- Document innovations from ideation to adoption within the traction system.
Requirements
- Bachelor’s degree in a quantitative field, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science
- Quality experience preferred
- Manufacturing/Technology engineering work experience
- Automotive experience
- Experience in Quality systems, tools and techniques
- 1+ year experience hands-on experience with machine learning, artificial intelligence, optimization/simulation techniques, or statistical analysis
- 1+ year of experience delivering analytics solutions
- Demonstrated technical skills in data analytics, AI/ML, operations research, and/or optimization