Job Details:

Job Description: 

• Drives the design, development, and application of sound data practices through the advancement of algorithms and statistical techniques including descriptive statistics and inferential methods, multivariate analysis, regression analysis, etc.

• Conducts statistical analyzes to derive conclusions from the study, identifies and quantifies sources of variation, discovers patterns in the data, and draws conclusions that go beyond the observed data.

• Identifies new opportunities for reports and value-added analytics, researches new methods in statistics, data science, and machine learning.

• Writes reports, develops dashboards, and prepares data visualizations.

• Integrates internal and external data to test concepts, evaluates markets and opportunities, optimizes and refines products and services, and explores areas for growth.

• Assists cross functional teams with decision making by collecting, analyzing, and presenting data.

• Works across projects and uses statistical and mathematical skills to understand data trends before presenting reports to business managers and stakeholders.

• Provides statistical support to projects, consults with managers, engineers, and technicians on engineering methodologies, data analysis, and experimental design.

• Applies advanced statistical techniques to create high performing predictive models and creative analyzes to address business objectives and client needs, responding to customer requests as required.

• Democratizes analytical methods through teaching and collaboration, drives development and maintenance of Statistical Process Control infrastructure, data integrity management and issue resolution.

Qualifications:

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:

• Bachelor's degree in any related fields: Statistics; Applied Statistics; Data Science; Applied Mathematics

Preferred Qualifications:

• Masters or PHD

• Statistical Methods, Data analytics and programming proficiencies: e.g. JMP, Python/SQL/other languages, Machine Learning.

• Knowledge of semiconductor process capability and manufacturing analytics

• Ability to develop predictive models and statistical methodologies

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (Malaysia)

Primary Location: 

Malaysia, Kulim

Additional Locations:

Business group:

Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.