Build and operate production machine learning systems and MLOps infrastructure for financial services. Responsibilities include developing feature and training pipelines, model-serving systems, CI/CD, automated retraining, monitoring, alerting, observability, and progressive model rollouts in GCP and Kubernetes. The role partners with data scientists and business teams to improve reliability, performance, scalability, cost efficiency, and deployment velocity while applying AI coding agents to infrastructure and ML workflows.

Owns Attain’s data science methodology, including causal inference, attribution, incrementality, media mix modeling, audience targeting, and modeled-data validation. Defines defensible measurement standards, partners with Product, Engineering, ML, and commercial teams, presents methodology to clients and partners, manages external consultants, and leads a team of data scientists. The role requires deep AdTech/MarTech experience, strong statistical and ML expertise, executive communication skills, and experience with large-scale consumer data.