Product Data Lead

About the Company

impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. Its award-winning products unify every type of partner into one integrated platform.

Responsibilities

• Develop, deploy, and maintain ML models for automated product categorization and taxonomy assignment
• Lead deep-dive analyses into catalog completeness, consistency, and correctness
• Architect and improve matching algorithms to link sales transactions to catalog products
• Design and implement deduplication pipelines for variant grouping and entity resolution
• Research and prototype improvements to product search and retrieval pipelines, including vector search
• Build and maintain product graph infrastructure capturing relationships between products and brands
• Take models and analytics prototypes from POC to production independently
• Mentor Senior and mid-level Data Scientists through pairing and code reviews

Requirements

• 7+ years in data science, ML engineering, or analytics engineering
• 3+ years focused on product data, catalog quality, entity resolution, or e-commerce analytics
• Proven ability to build production-grade data pipelines and deploy ML models independently
• Expert-level Python and SQL
• Advanced proficiency with ML libraries (scikit-learn, XGBoost, PyTorch/TensorFlow) and PySpark
• Deep experience with entity resolution, fuzzy matching, and embeddings
• Bachelor's degree in a quantitative field (CS, Statistics, Math, Engineering); Master's/PhD preferred

Preferred Qualifications

• Experience with vector search and vector databases (FAISS, Pinecone, Weaviate)
• Familiarity with search and retrieval systems like Elasticsearch or Solr
• Experience with graph databases and graph analytics
• Advanced NLP for product data (NER, attribute extraction, semantic similarity)
• Proficiency with GCP tools (BigQuery, Vertex AI, Dataflow)
• Experience with recommendation systems

Benefits

• Flexible working and Responsible PTO policy
• Mental health support including 12 covered therapy/coaching sessions per year
• Monthly gym reimbursement
• Restricted Stock Units (RSUs) with a 3-year vesting schedule
• Free Coursera subscription and PXA courses
• Generous parental leave (26 weeks primary, 13 weeks secondary)
• Technology stipend and monthly internet allowance