Competitive Data Scientist

Design and build reproducible data science and machine learning tasks that go beyond plausible answers, implementing reference solutions, datasets and dependencies. You also define evaluation checks, run coding agents against the tasks, analyze their failures and detect leaks or flawed assumptions. Requires proven competition or applied ML experience (Kaggle, DrivenData, Zindi, etc.), solid mathematical reasoning and strong Python skills for testing and debugging.

Source: Himalayas

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