Strategic Data Scientist & AI Engineer for Semiconductors

onsemi; Carmona; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

onsemi is seeking a Data Scientist / AI professional to develop advanced analytical and AI solutions for semiconductor manufacturing operations in the Cavite, Philippines area. You will enhance production performance, optimize yield, and boost operational efficiency.

The role requires expertise in data science, AI, and manufacturing domain knowledge, with collaboration across engineers and stakeholders to drive Industry 4.0 initiatives and data-driven decision making.

Qualifications

• Bachelor’s or Master’s degree in Data Science, CS, Engineering, Statistics, or related field.
• 5+ years of analytics, machine learning, or AI experience.
• Strong knowledge of data modeling, ML, AI, and statistical analysis.
• Experience with large-scale structured and unstructured data.
• Excellent analytical and problem-solving abilities.

Responsibilities

• Develop predictive and prescriptive analytics solutions for manufacturing processes.
• Design and implement machine learning and AI models.
• Build comprehensive data models supporting manufacturing analytics.
• Analyze production, process, quality, and equipment data.
• Collaborate with manufacturing engineers and business stakeholders.
• Support smart manufacturing and Industry 4.0 initiatives.
• Deliver insights that improve yield, productivity, and equipment performance.
• Present findings and recommendations to technical and business audiences.

Skills

Data Modeling

Machine Learning

Artificial Intelligence

Statistical Analysis

Analytical Thinking

Education

Bachelor's or Master's in Data Science/CS/Engineering/Statistics

Tools

Python

SQL

Job description

onsemi is seeking a Data Scientist / AI professional to develop advanced analytical and AI solutions for semiconductor manufacturing operations in the Cavite, Philippines area. You will enhance production performance, optimize yield, and boost operational efficiency.

The role requires expertise in data science, AI, and manufacturing domain knowledge, with collaboration across engineers and stakeholders to drive Industry 4.0 initiatives and data-driven decision making.