[Catalog Data and Science] Staff Data Scientist
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The role
Lead the Catalog Data Analytics team’s shift from descriptive reporting to predictive modeling, causal inference, and robust experimentation.
Develop and deploy ML models for catalog health scoring, anomaly detection, and data quality prediction across millions of SKUs.
Apply advanced techniques (transformers, foundation models, Bayesian inference) to improve structured/semi-structured product data quality.
Design scientific frameworks and metrics to monitor catalog health and proactively detect data issues.
Automate catalog management SOPs using data science, ML, and LLMs to reduce manual errors and scale operations.
Partner with Backend Engineering, Product, and Business teams to deploy production-grade solutions and drive measurable impact.
Develop and deploy ML models for catalog health scoring, anomaly detection, and data quality prediction across millions of SKUs.
Apply advanced techniques (transformers, foundation models, Bayesian inference) to improve structured/semi-structured product data quality.
Design scientific frameworks and metrics to monitor catalog health and proactively detect data issues.
Automate catalog management SOPs using data science, ML, and LLMs to reduce manual errors and scale operations.
Partner with Backend Engineering, Product, and Business teams to deploy production-grade solutions and drive measurable impact.
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