Product Data Scientist (Data Labs)

This Senior Data Scientist owns the analytical and technical foundation of product data quality across impact.com's ecosystem, spanning catalog hygiene, transaction matching, classification modeling, deduplication, and global product identity. The role involves building ML models for product categorization, improving GPID coverage and matching algorithms, and prototyping vector search and retrieval infrastructure. Requires strong engineering capabilities to take models from research to production with scalable data pipelines and monitoring systems.

The Senior Data Scientist will lead data science initiatives, developing models and algorithms to solve complex business problems. This role requires expertise in machine learning and statistical analysis.

This role focuses on applying advanced data science and statistical modeling to product analytics, driving insights for product decisions. The data scientist will design experiments, build predictive models, and collaborate with product teams to optimize user experiences.

This role is a senior or lead data analyst focused on product analytics, responsible for analyzing product usage data to inform product decisions and drive growth. The analyst will design experiments, build dashboards, and provide actionable insights to product and engineering teams.

This role takes end-to-end ownership of data modeling, building the 'Source of Truth' for strategic decisions using SQL, dbt, and Python in a CI/CD workflow. The engineer will design production-grade data models, ensure data integrity, and enable AI initiatives by building AI-ready data foundations. Requires 5+ years of analytics engineering experience, expert SQL, and hands-on dbt expertise.

This player-coach Team Manager role leads a team of 3-4 Enterprise Account Executives in EMEA, focusing on expansion revenue from large global customers. The role involves coaching, building account growth strategies, and personally managing a few strategic accounts. Requires 4-5 years of enterprise sales leadership experience, strong coaching ability, and a deep understanding of GenAI's impact on digital marketing.

This Customer Success Manager role on the Inside Sales team manages relationships with SMB customers of the Market Intelligence solution. The role focuses on driving product adoption, securing renewals, and identifying upsell opportunities to grow revenue. Requires 2+ years of commercial account management or sales experience, with strong communication and analytical skills.