Description
The Data Scientist will be the first hire on a team responsible for building and deploying machine learning models into production, starting with a personalized discounting model that serves real-time paywall decisions. The role owns the full model lifecycle, develops production-grade code, establishes low-latency GCP serving and feature pipelines, sets up monitoring, and partners with Product, Engineering, and Lifecycle marketing. It also involves causal inference, experimentation, and measuring incremental business impact, with a requirement of 4–7 years of data science or ML engineering experience and at least one model shipped to live production.
