Staff Data Scientist, Catalog
Is this job for you?
Build my CV Build your CV and see how well you match this role — and every other one.
The role
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.
See the full job post
Responsibilities, requirements, skills and benefits — create your free account.
Already have an account? Log in
Similar openings
Other roles that could suit you.