Staff Data Scientist, Catalog
职位介绍
Lead the transition from descriptive reporting to predictive modeling, causal inference, and robust experimentation for catalog data.
Develop and deploy ML models for catalog health scoring, anomaly detection, and data quality prediction across millions of SKUs.
Apply advanced techniques such as transformers, foundation models, and Bayesian inference to improve data accuracy and completeness.
Design scientific frameworks and metrics to monitor catalog health and proactively detect emerging data issues.
Automate repetitive catalog management processes using data science, ML, and LLMs to reduce manual errors.
Collaborate with engineering, product, and business leaders to ensure measurable impact and strengthen the team’s scientific capabilities.
Develop and deploy ML models for catalog health scoring, anomaly detection, and data quality prediction across millions of SKUs.
Apply advanced techniques such as transformers, foundation models, and Bayesian inference to improve data accuracy and completeness.
Design scientific frameworks and metrics to monitor catalog health and proactively detect emerging data issues.
Automate repetitive catalog management processes using data science, ML, and LLMs to reduce manual errors.
Collaborate with engineering, product, and business leaders to ensure measurable impact and strengthen the team’s scientific capabilities.
查看完整职位
工作职责、任职要求、技能与福利 — 免费创建账号即可查看。
已有账户？ 登录
相似职位
其他可能适合您的职位。