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, research 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.

Key Responsibilities

• Design and apply advanced statistical methods, including descriptive statistics, inferential analysis, multivariate analysis, and regression techniques, to analyze complex datasets.
• Conduct statistical analyses to identify patterns, quantify sources of variation, and derive conclusions that extend beyond observed data.
• Research and implement new statistical, data science, and machine learning methods to address business challenges and optimize opportunities.
• Integrate internal and external datasets to evaluate markets, test concepts, and refine products and services.
• Develop dashboards, reports, and data visualizations that transform complex data into clear, actionable insights for business managers and stakeholders.
• Provide statistical support to projects by consulting with managers, engineers, and technicians on data analysis, experimental design, and engineering methodologies.
• Create predictive models to address client needs, respond to customer requests, and drive solutions to meet business objectives.
• Maintain and enhance Statistical Process Control infrastructure, ensuring data integrity and addressing any issues.
• Educate and collaborate with cross-functional teams to democratize analytical methods and foster a data-driven culture.

Qualifications:

Minimum Qualifications

• Bachelor's degree / Master's Degree in Statistics, Data Science, Mathematics, or a related field with 2 years of experience.
• Proficiency in statistical tools and programming languages such as Python.
• Experience with data visualization tools like Power BI, or similar platforms.
• Strong knowledge of data quality tools, data mining techniques, and predictive modeling.
• Familiarity with Statistical Process Control and methods for ensuring data integrity.
• Review and maintain Process Control System ( PCS) modules to ensure stable and efficient plant/production operations.
• Fresh graduates are welcome to apply.

Preferred Qualifications

• Experience collaborating with cross-functional teams and presenting complex findings to diverse stakeholders.
• Strong problem-solving and critical-thinking skills with a focus on actionable business outcomes.
• Enthusiasm for innovation, continuous learning, and contributing to a culture of data-driven excellence.

Job Type:

Experienced Hire

Shift:

Shift 1 (Malaysia)

Primary Location:

Malaysia, Penang

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 require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

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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.