FAB Statistician

Description -

Job Summary
The Fab Statistician serves as the statistical and data science expert within HP Inkjet MEMS Manufacturing in Singapore driving yield improvement process optimization and data-driven decision making. The role integrates advanced analytics AI and statistical methods into manufacturing workflows while partnering closely with engineering quality and operations teams to ensure robust and high-yield production.

Responsibilities

• Statistical Consulting Manufacturing Support & Training

Serve as the statistical expert embedded in MEMS Fab operations to support yield improvement and process optimization. Define sampling strategies SPC systems process capability metrics and DOE. Partner with engineering and operations teams to translate data into actionable insights. Provide training on statistical methods JMP and data analytics tools and support measurement system validation.

While primarily supporting the MEMS Fab the role is also expected to provide statistical expertise across the broader Inkjet Manufacturing operations in Singapore.

• Quality System & Audit Support

Integrate statistical methods into quality systems and manufacturing standards. Define sampling and monitoring strategies to improve product quality cost and reliability. Support internal and external audits as a statistical advisor and contribute to continuous improvement initiatives across the Fab.

• AI Advanced Analytics & Yield Modelling

Develop and deploy AI and machine learning models for yield prediction excursion detection and process optimization. Build automated data pipelines and analytics solutions using Python R and SQL. Enable digital manufacturing by integrating advanced analytics into fab systems and driving adoption of data-driven decision making.

Required Skills & Competencies
Strong foundation in statistical methods including SPC DOE sampling plans process capability analysis and measurement systems analysis. Proficiency in JMP and programming languages such as Python R or SQL. Experience in data analysis within semiconductor MEMS or high-volume manufacturing environments is preferred. Strong communication and stakeholder management skills with the ability to translate complex analytics into practical manufacturing actions.

Education & Experience Recommended
Four-year or Graduate Degree in Statistics Data Science Engineering or a related discipline. Experience in semiconductor MEMS or advanced manufacturing is preferred. Candidates with strong applied analytics or AI experience particularly in manufacturing environments are highly valued.

Preferred Certifications
NA

Cross-Org Skills
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity

Impact & Scope
Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.

Complexity
Responds to moderately complex issues within established guidelines.

Sustainable impact is HPs commitment to create positive lasting change for the planet its people and our communities. This serves as a guiding principle for delivering on our corporate vision to create technology that makes life better for everyone everywhere

HP is a Human Capital Partner we commit to human capital development and adopting progressive workplace practices in Singapore.

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Equal Opportunity Employer (EEO) -

HP Inc. provides equal employment opportunity to all employees and prospective employees without regard to race color religion sex national origin ancestry citizenship sexual orientation age disability or status as a protected veteran marital status familial status physical or mental disability medical condition pregnancy genetic predisposition or carrier status uniformed service status political affiliation or any other characteristic protected by applicable national federal state and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information review HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal