• Strong proficiency in Python programming language and related libraries such as NumPy, Pandas, and SciPy.
• Experience with data analysis and statistical methods.
• Familiarity with data visualization tools and libraries such as Matplotlib and Seaborn.
• Knowledge of database systems such as SQL and experience with database design and management.
• Experience with version control systems such as Git.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills, as the programmer will be working with cross-functional teams.
• Knowledge of electronics and device engineering would be a plus but not always required.

Responsibilities

• Maintaining Python-based analysis tools and workflows for device analysis.
• Collaborating with device team to design and implement analysis solutions for new devices or adding new features.
• Providing technical expertise and guidance to other team members on Python programming for device analysis.
• Build up a PFA database for device team