Senior Data Scientist, Assembly & Test
Taichung City, TW
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingAnalyze yield, defect and process data to detect anomalies and drive yield gains
Develop computer vision solutions for automated inspection and defect detection
Build and productionize predictive models and analytical pipelines for high-volume manufacturing
Apply AI, LLMs and agentic AI to speed up analytics and automate engineering tasks
Mentor junior data scientists and explain insights to technical and non-technical audiences
From the employer’s posting
Analyze semiconductor manufacturing data (yield, defects, process) to detect anomalies and drive yield improvements.
Develop computer vision solutions for image and video use cases (e.g., automated inspection and defect detection).
Build and productionize predictive models and robust analytical pipelines for high-volume manufacturing.
Apply AI, LLMs, and agentic AI—with AI-assisted development tools—to accelerate analytics and automate engineering tasks.
Partner with cross-functional teams, communicate insights clearly, and mentor junior data scientists.
Education & alternatives
## Education & Experience * Master's degree (or equivalent experience) in Statistics, Operations Research, Computer Science, Applied Mathematics, or a related field. * 5+ years applying predictive modeling to solve industry problems. * Strong problem-solving skills. Job Profile(s):
Tools in this posting
- NoSQL
- Snowflake
Source — Tool mentions in context
## Qualifications & Skills * Strong machine learning and advanced analytics expertise. * Computer vision experience across image and video analytics. * Solid database knowledge across relational databases, NoSQL, and cloud databases (Snowflake preferred). * Hands-on experience with Generative AI, LLMs, and AI-assisted tools (e.g., Copilot, coding assistants). * Solid software engineering discipline (Git, DevOps, Agile). * Excellent English communication, able to explain technical insights to technical and non-technical audiences. * Strong project management skills, with the ability to manage multiple priorities simultaneously. * Proven ability to mentor and grow junior team members. ## Education & Experience
Posting record
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- Live
- First seen by us
- Sep 7, 2026 · 52 days ago
- Recorded sightings
- 137
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Aug 28, 2026
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Taichung City, TW
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