Convert existing Excel tools into reliable Python scripts or applications.
Translate formulas and macros from Excel into scalable code.
Collaborate with engineering and project teams to understand requirements and improve tool usability.
Identify and develop innovative solutions to improve workflows and address pain points.
Document scripts, workflows, and user guidelines for clarity and usability.
Design and implement automated tests for the developed scripts.

Currently pursuing a Bachelor’s degree in Computer Science, Data Science, Information Science, Electrical Engineering, or a related field.
Coursework or projects involving Python and Data analysis.
Prior experience converting Excel workflows, building automation scripts, or developing software tools is a plus.
Strong proficiency in Python, with experience using libraries such as Pandas, Numpy, Scipy, and visualization tools (e.g., Matplotlib, Seaborn).
Ability to understand and convert Excel logic into code.
Write clean, efficient, and well-documented code to ensure reusability and maintainability.
Experience automating data tasks with CSV/JSON formats.
Experience with version control tools such as Git.
Background or coursework in Electrical Engineering is a plus.
Basic knowledge of supply chain and business concepts is a plus.

Data Science Intern

Key skills