About the job
About impact.com
impact.com stands as the premier commerce partnership marketing platform globally, revolutionizing the growth trajectory of businesses by enabling them to discover, manage, and scale partnerships throughout the customer journey. Whether it’s affiliates, influencers, content publishers, brand ambassadors, or customer advocates, impact.com empowers brands to achieve trusted, performance-driven growth through authentic relationships. Our award-winning products, Performance (affiliate), Creator (influencer), and Advocate (customer referral), integrate various partner types into one cohesive platform. As consumers increasingly depend on recommendations from trusted sources, impact.com ensures that brands stand out where it matters most. Currently, over 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, leverage impact.com to drive more than 225,000 partnerships that generate measurable business outcomes.
About the Role
We are on the lookout for a Senior Data Scientist with a focus on Product Data Quality to join our Data Science team in Cape Town. In this pivotal role, you will take charge of the analytical and technical framework governing product data quality within our ecosystem, encompassing catalog hygiene, transaction matching, classification modeling, deduplication, and global product identity. Your responsibilities will span both the structured catalog domain and the larger, more complex sales transaction landscape, as you build models and infrastructure that enhance search, recommendations, and business intelligence. This is a high-impact position that requires a blend of analytical expertise and robust engineering skills: you will be responsible for transitioning models from research to production, constructing scalable data pipelines, and establishing the monitoring infrastructure that ensures our product data foundation is reliable and continually improving. Your contributions will have a direct impact on search relevance, recommendation quality, match rates, and reporting accuracy across the organization.
