Data Scientist

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.

Requirements

• 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.
• 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:
• Posting Statement:
• All qualified applicants will receive consideration for employment without regard to race, color, religion, religious cree

Additional Information

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, 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.

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Company Intel

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