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bigquery sql python dbt mlops📋 Description
- Design and run experiments (causal analysis, A/B tests, offline evals)
- Build, evaluate, and iterate predictive models (credit/risk, revenue)
- Own model performance, metrics, drift, data quality
- Productionize models and analytics with Product Engineering
- Turn messy data into signals via feature engineering
- Communicate insights to technical and non-technical stakeholders
🎯 Requirements
- 5+ years of professional experience in data science or quantitative ML
- Strong stats & experimentation (hypothesis testing, causal reasoning)
- Experience building/shipping predictive models and measuring impact
- Python and SQL; comfortable with production data workflows
- Define problems, align on success metrics, and deliver end-to-end
- Strong written communication; fast-moving environments
- Credit risk, underwriting, fraud signals, or forecasting
- BigQuery and dbt familiarity
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