Data Scientist And AI Engineer

onsemi; Carmona; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

onsemi is seeking a Data Scientist / AI professional to develop advanced analytics and AI solutions for semiconductor manufacturing operations. The role combines data science, AI, and manufacturing knowledge to enhance production performance and efficiency.

Responsibilities include building predictive/prescriptive models, data modeling, and collaborating with engineers and stakeholders to drive yield optimization and Industry 4.0 initiatives.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, or related discipline.
• 5+ years of analytics, ML, or AI experience.
• Proficient in data modeling, ML, AI, and statistical analysis.
• Experience with large-scale structured and unstructured data.

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 to improve yield, productivity, and equipment performance.
• Present findings to technical and business audiences.

Skills

Data Modeling

Machine Learning

Artificial Intelligence

Statistical Analysis

Python

SQL

Education

Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, or related discipline

Tools

Azure

OCI

Snowflake

Job description

Job Description:

The Data Scientist / AI professional will focus on developing advanced analytical and AI solutions to improve semiconductor manufacturing operations. This role combines expertise in data science, AI, and manufacturing domain knowledge to enhance production performance, yield optimization, and operational efficiency.

Responsibilities

Key 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.

Required Qualifications

• Bachelors or Masters degree in Data Science, Computer Science, Engineering, Statistics, or related discipline.


• 5+ years of experience in analytics, machine learning, or AI.


• Strong knowledge of:
  
  
  
  • Data Modeling
  
  
  • Machine Learning
  
  
  • Artificial Intelligence
  
  
  • Statistical Analysis
  
  
  
  


• Experience working with large-scale structured and unstructured data.


• Excellent analytical and problem-solving abilities.

Qualifications

• Semiconductor manufacturing experience is preferred


• Knowledge of manufacturing execution systems (MES), SPC, and process control is an advantage


• Experience with Azure, OCI, or Snowflake platforms.


• Programming experience in Python, SQL, or related technologies.

onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.

More details about our company benefits can be found here:

https://www.onsemi.com/careers/career-benefits

We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.