Anomaly Detection Engineer, Test Data

Project

Work done for a product or program.

• Develop multivariate outlier models on parametric and functional test data.
• Implement dynamic part average testing and nearest-neighbour residual screens.
• Tune screens to catch escapes without yield loss.
• Integrate screens into production test and data flows.
• Monitor screen performance and false rejects.
• Investigate customer returns to improve models.

Function

Work that keeps the discipline running: methods, tools, suppliers and people.

• Document methods for customer and standards audits.

Project

1. Produce and hand over the role's key deliverables
   • Anomaly screening models
   • Screening rule documentation
   • Escape and false-reject analysis
   • Audit evidence for customers
2. Support programsGeneral
   • Agree what each program needs
   • Deliver in time for milestones
3. Manage issuesGeneral
   • Track requests to closure
   • Escalate risks

Function

1. Run the functionGeneral
   • Maintain policies and processes
   • Keep records and controls
2. ImproveGeneral
   • Report performance
   • Lead improvement work