Engineering Data Scientist (Senior or Lead)
Core
Lead a high-performing analytics team and shape organizational AI strategy and infrastructure to drive model development and operationalization at scale.
Role type
Senior/Lead Engineering Data Scientist (AI Strategy & Infrastructure)
Builds
Scalable ML infrastructure, production pipelines, and AI roadmaps for customer support analytics
Domain
Aerospace (Boeing) + Machine Learning & Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Machine learning, data engineering, team leadership, strategic planning, cloud architecture, model governance, data quality management
Preferred skills
Advanced analytics strategy, full-stack analytics technology, feature store management
Technologies
Azure, Google Cloud Platform (GCP), Teradata, Databricks, CI/CD
Responsibilities
Architect scalable ML infrastructure and production pipelines; mentor junior engineers; define AI roadmap and best practices; monitor production and deployment; oversee data quality and feature stores; ensure model governance and compliance
Seniority
Senior/Lead, hands-on IC with mentorship responsibilities
