Data Scientist – Manufacturing Analytics

About the role

This position offers the opportunity to turn fab data into actionable insights that help solve yield, process and manufacturing engineering challenges. You will work on‑site in Dalian, collaborating with yield and process engineers to enable data‑driven decision making.

Key responsibilities

• Develop and deliver data analysis tools and methodologies for engineering teams.
• Enable rapid signal detection for yield or process issues.
• Improve yield and quality while reducing costs to meet quality, output and cost targets.
• Partner with engineers to understand business needs and translate them into analytical solutions.

Required profile

• Minimum Master’s degree in Statistics, Machine Learning, Computer Science or related field; Ph.D. preferred.
• 3‑4 years of experience in data application development, analytics, computer vision, deep learning or large language models.
• Strong communication, presentation and time‑management abilities.
• Self‑motivated with a passion for data science.

Required skills

• Python, JMP, R
• SQL, Hadoop, Spark
• Predictive modeling, machine learning algorithms, clustering, dimensionality reduction, anomaly detection
• Computer vision, deep learning, large language models (LLM)

What we offer

• On‑site role in a leading semiconductor manufacturing environment.
• Opportunities to work on high‑impact projects that directly influence production quality and cost.