Teams at Numerator

Develop statistical methodologies and production data science solutions for consumer purchase panel products. Apply sampling, weighting, modeling, classification, anomaly detection, and optimization to improve data quality and representativeness. Build scalable Python and SQL workflows, monitoring frameworks, and internal tools. Collaborate with Product, Engineering, Data Operations, and business partners throughout the project lifecycle, while clearly communicating methodologies, findings, assumptions, and tradeoffs.

Lead and grow a data science team responsible for panel quality, representativeness, and measurement methodology. Advance statistical and ML methods, partner cross-functionally to productionize robust, explainable measurement systems, and communicate technical insights to internal and client audiences.

Develop statistical methodologies and data science solutions for consumer purchase panel data. Build Python and SQL workflows, metrics, monitoring, and validation frameworks; investigate data quality and consumer behavior; and support projects from exploration through deployment. Collaborate with Product, Engineering, Data Operations, and business partners while communicating methodologies, findings, assumptions, and tradeoffs to technical and non-technical audiences.