Data Classification Associate, Corporate
Core
Transform massive volumes of consumer data into accurate, reliable, and actionable insights for retail clients by managing data quality at the item level and resolving complex definitional issues.
Role type
Senior IC data classification and taxonomy engineer
Builds
Product taxonomies and category hierarchies for retail clients
Domain
Retail market research and consumer data analytics
Deliverable
production ML models | product features
Required skills
SQL, Python, PySpark, GitHub, Databricks, category mapping, data quality management, QA process design, stakeholder communication
Preferred skills
Market intelligence support, brand manufacturer/retailer domain knowledge
Technologies
SQL, Python, PySpark, GitHub, Databricks
Responsibilities
Own category hierarchies end-to-end, build and refine product taxonomies, develop deep product/brand classification expertise, drive AI-enabled classification approaches, design and run QA processes, investigate and resolve data quality issues, serve as client-facing expert on category data, collaborate cross-functionally to align best practices, innovate and mentor peers
Seniority
Mid-Senior, hands-on IC
