Principal Data Scientist, Quantitative Intelligence

What you’ll do: Ship end-to-end ML solutions: research to modeling to production Build statistical frameworks (balancing, normalization, paneling, cohorting)Develop predictive models for spend forecasting, propensity, churn, and behavioral embeddings Create causal measurement systems (synthetic controls, uplift, incrementality)Apply privacy preserving ML (DP, cleanrooms, aggregation thresholds)Drive production pipelines and governed model outputs Mentor senior/staff scientists and represent methodology to stakeholders What you bring 10+ years in ML/statistics with deep hands-on leadership for financial services Predictive modeling in financial services / credit card data - spend Credit card or financial transaction data experience Strong foundation in weighting, calibration, bias correction Expertise in supervised learning, forecasting, behavioral/tabular data Causal inference experience (synthetic control, uplift, incrementality)Production engineering skills (Python, SQL, cloud data warehouses)Experience with large scale ML pipelines and evaluation frameworks Excellent communication and methodological rigor Representation learning / embeddings Privacy preserving ML and cleanroom workflows Keywords: ML Scientist, Statistical Modeling, Predictive Modeling, Paneling, Normalization, Cohorting, Causal Inference, Synthetic Control, Uplift Modeling, Transaction Data, Behavioral Modeling, Forecasting, Representation Learning, Privacy Preserving ML, Cleanrooms, Production ML Pipelines