Impact.com is seeking a Senior Data Scientist specializing in Product Data Quality to enhance the quality of product data across their platform. The role involves building and maintaining scalable data pipelines and ML models to improve catalog hygiene and transaction accuracy
Job Summary
Own the analytical and technical foundation of product data quality across the impact.com ecosystem.
Develop, deploy, and maintain ML models for automated product categorization and taxonomy assignment.
Take models and analytics prototypes from POC to production, owning deployment, testing, monitoring, and iteration.
Matching Summary
Match Score: 85
Impact.com is seeking a Senior Data Scientist specializing in Product Data Quality to enhance the quality of product data across their platform. The role involves building and maintaining scalable data pipelines and ML models to improve catalog hygiene and transaction accuracy.
Skills & Requirements
Must-have
Product data quality
Classification modeling
Deduplication and entity resolution
Search and retrieval infrastructure
Python and SQL proficiency
ML model deployment
Nice-to-have
Vector database infrastructure
Product graph infrastructure
Collaboration with category experts
Manufacturer data quality evaluation
Key Requirements
5+ years in data science, ML engineering, or analytics engineering
2+ years focused on product data, catalog quality, entity resolution, search/retrieval, or e-commerce/marketplace analytics
Proven ability to build production-grade data pipelines and deploy ML models independently
Strong software engineering fundamentals
Demonstrated experience analyzing and improving large-scale structured data quality
Track record building and deploying classification models, ranking systems, or search/retrieval pipelines in production
Proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow)