Principal Data Scientist (64_2026.3)

Affinity Solutions (Affinity) is the leading consumer purchase insights company. We provide a complete view of U.S. and U.K. consumer spending, across and between brands, via exclusive access to fully permissioned data from over 100 million consumers. Our proprietary AI technology, Comet™, transforms these purchase signals into actionable insights for business and marketing leaders to drive optimal outcomes and build lasting customer relationships. Visit www.affinitysolutions.com to discover how we’re shaping the future of consumer purchase insights.

About Your Role

The Data Science team at Affinity Solutions builds the statistical and machine learning capabilities that turn raw credit card transactions into an AI-ready source of truth for consumer spending behavior — the models that resolve messy transaction strings into canonical brands and categories, the predictive models that turn spend history into forward-looking signals, and the methodology that measures campaign effects defensibly. Increasingly this work will be consumed by models and agents rather than by analysts, which raises the bar on correctness, robustness and privacy.

In this role, you will serve as the technical lead for the Quantitative Intelligence area, spanning three core disciplines — predictive modeling, statistical weighting and paneling methodology, and campaign measurement. The goal of this group is to turn Affinity’s consumer spend data into predictive and statistical intelligence — models and signals that are served as first-class, governed capabilities to our customers, our products, and the AI agents that will increasingly consume our data. Example problems include predicting a customer’s future spend at a merchant, long-term brand and category spend forecasting, modeling ticker performance, propensity and churn models, privacy-safe behavioral embeddings, reusable feature and training-set generation for customer-built models, pseudo-randomized campaign measure