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Shared by 
19 days ago
Requirements and responsibilities
Turn data into decisions and models into impact. Own the full ML lifecycle from messy data to deployed models that drive product and business outcomes. Clean and explore large datasets, build ML/stats models for prediction/classification/NLP/CV, run A/B tests and causal inference, engineer features, tune hyperparameters, evaluate with proper metrics, deploy via APIs/batch jobs, monitor drift, collaborate with Eng/Product/Analytics, write clear docs, present insights to stakeholders, use SQL for data pulls, leverage cloud tools, and ship reproducible code.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)