Senior Data Scientist, Product Data

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, helping over 5,000 global brands drive performance-based growth.

Responsibilities

• Develop, deploy, and maintain ML models for automated product categorization and taxonomy assignment
• Conduct deep-dive analyses into catalog completeness, consistency, and correctness
• Build and improve matching algorithms to link sales transactions to catalog products
• Identify product variants and duplicates using clustering, entity resolution, and embeddings
• Research and prototype improvements to product search and retrieval pipelines using vector search and semantic similarity
• Build and maintain product graph infrastructure to capture relationships between products, brands, and retailers
• Take models from POC to production, owning deployment, testing, and monitoring
• Build robust, scalable data pipelines and ML workflows using production-grade tools

Requirements

• 5+ years in data science, ML engineering, or analytics engineering
• 2+ 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
• Strong Python and SQL proficiency
• Experience with ML libraries such as scikit-learn, XGBoost, PyTorch, or TensorFlow
• Experience with entity resolution, fuzzy matching, clustering, and embeddings
• Bachelor's degree in a quantitative field (CS, Statistics, Math, Engineering)

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 (Neo4j)
• Knowledge of NLP techniques for product data
• Experience with multimodal modeling
• Familiarity with GCP tools (BigQuery, Vertex AI) or Databricks/Spark
• Experience with recommendation systems

Benefits

• Flexible working and Responsible PTO policy
• Mental health support including 12 covered therapy 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