Data Scientist and AI Engineer
Software Engineering, Data Science · Full-time
Carmona, Cavite, Philippines
Posted on Sep 17, 2026
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.
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:
| 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. |
- 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.
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
- Bachelor's or Master's 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.