Data Scientist

About the Role:

• Leverage data analysis to optimize decision-making through AI software development (e.g., glass defect classification, demand forecasting).
• Deploy robust machine learning models on cloud or on-premise infrastructure.
• Collaborate cross-functionally with product and engineering teams for seamless production integration.

Key Responsibilities:

• Stay current with advancements in data science, deep learning, NLP, LLMs, and GenAI.
• Engage in research and development of AI technologies through academic cooperation.
• Prioritize work-life balance with a hybrid model including occasional ASEAN/Japan business trips (3-5 times annually).