Data Scientist (early-career): Ontwikkel en implementeer AI/ML-modellen en automatiseringsoplossingen voor grote datasets in Azure met Python en SQL. Bouw dashboards en visualisaties om AI-gedreven inzichten te communiceren aan engineeringteams en automatiseer datastromen en rapportages. Bijdragen aan innovatieve toepassingen in de halfgeleiderindustrie vanuit Kuala Lumpur.
Functiebeschrijving
About the Role
We are seeking an early‑career Data Scientist to apply AI/ML and Generative AI in semiconductor engineering. You will work with engineering teams to build ML models and GenAI‑powered analytics, automation, and decision‑support solutions on large‑scale manufacturing and test data.
Key Responsibilities
Apply statistical analysis and ML techniques to wafer sort, final test, and inline process data
Explore and develop AI/ML and Generative AI use cases, including LLM‑assisted analytics and automation
Design dashboards and visualizations to communicate AI‑driven insights to engineering teams
Automate data pipelines, model workflows, and reporting
Leverage cloud platforms and compute (CPU/GPU) for scalable data processing and model training
Qualifications
Bachelor’s or master’s degree in data science, Engineering, Computer Science, Statistics, or related field
1–2 years of applied experience in data science, ML, or AI‑driven projects
Strong foundation in machine learning, statistics, and data analysis
Proficient in Python or R (pandas, NumPy, scikit‑learn, etc.)
Working knowledge of SQL and large datasets
Familiarity with Generative AI concepts, LLMs, or prompt‑based workflows
Exposure to cloud platforms (AWS, Azure, or similar) and big data tools is a plus
Strong analytical thinking, problem‑solving, and communication skills
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