I’m assembling a small pool of Python specialists who can jump in as on-demand interviewers for my hiring pipeline. Every candidate you meet will be applying for a data-science-focused role, so I need someone whose own background is genuinely senior-level in that space—think daily work with pandas, NumPy, scikit-learn, Jupyter notebooks, model deployment, and the usual mix of statistics and SQL that glues real projects together. Your task is to run one-hour coding-test sessions over Zoom or Google Meet. I supply the shortlist of applicants and the calendar invites; you supply the technical depth and the objective scoring. During each session you will: • present or share a prepared data-centric coding challenge (I’m happy to reuse a problem you already trust, or we can refine one together); • observe the candidate’s thought process, code quality, and debugging style in real time; • probe with follow-up questions on complexity, edge cases, and possible refactors; • finish with a concise written evaluation covering correctness, efficiency, readability, and communication. I keep the format lightweight, so no elaborate behavioral questioning—just a fair, practical coding test that mirrors everyday data-science work. Reliability and clear, actionable feedback are what matter most. If this sounds like a good fit, let me know how many interviews you can comfortably handle per week and the tools you prefer for screen-sharing and code execution.