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We're building ML-powered features into our developer platform. Help us turn raw usage data into product intelligence. **What you'll do** - Design and ship recommender systems and anomaly detection features - Partner with product to define metrics and run A/B experiments - Build and maintain feature pipelines using Spark and dbt - Present findings and model results to non-technical stakeholders **Requirements** - 3+ years of industry data science experience - Strong Python (Pandas, scikit-learn, PyTorch or TensorFlow) - Experience with SQL and modern data stacks (dbt, Snowflake, or BigQuery) - Solid statistical reasoning and experiment design skills **Nice to have** - Experience with LLMs or embedding-based search - Familiarity with MLflow or similar experiment tracking - Published research or Kaggle competition experience
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