Not specified (assumed to be in-office given the need for collaboration in manufacturing).
Strong foundation in statistical methods
Proficiency in jmp software
Experience with python r or sql
The FAB Statistician role at HP R&D Singapore involves leveraging statistical methods and advanced analytics to drive yield improvement and process optimization within the MEMS manufacturing sector. The position requires collaboration with engineering and operations teams to integrate data-driven decision-making into workflows
Job Summary
The Fab Statistician serves as the statistical expert within HP Inkjet MEMS Manufacturing to drive yield improvement and process optimization.
The role involves developing and deploying AI and machine learning models for yield prediction and excursion detection using Python, R, and SQL.
Candidates must possess a four-year or graduate degree in Statistics, Data Science, Engineering, or a related discipline.
Matching Summary
Match Score: 85
The FAB Statistician role at HP R&D Singapore involves leveraging statistical methods and advanced analytics to drive yield improvement and process optimization within the MEMS manufacturing sector. The position requires collaboration with engineering and operations teams to integrate data-driven decision-making into workflows.
Skills & Requirements
Must-have
Strong foundation in statistical methods
Proficiency in JMP software
Experience with Python R or SQL
Knowledge of SPC DOE and sampling plans
Ability to translate data into actionable insights
Nice-to-have
Experience in semiconductor or MEMS environments
Strong communication and stakeholder management skills
Background in advanced analytics and AI
Training on statistical tools and methods
Key Requirements
Four-year or Graduate Degree in Statistics or Engineering
Experience in semiconductor or high-volume manufacturing preferred
Proficiency in JMP programming languages Python R or SQL