AVP, Data Scientist - Platform, Data Chapter
Core
Designing scalable data architectures and optimizing complex ETL/ELT pipelines to support downstream modeling and business-critical operations.
Role type
Senior IC data scientist specializing in data engineering and infrastructure
Builds
Stable, high-performance data infrastructure and automated management systems
Domain
Financial services data infrastructure
Deliverable
production ML models
Required skills
Python, PySpark, SQL, data modeling, database schema design, distributed dataset management, automated validation frameworks, data quality assurance, pipeline optimization, feature store creation
Preferred skills
Airflow, Git, Tableau
Responsibilities
Design, build, scale, and maintain automated ETL/ELT data pipelines; Manage and optimize core applications and data services; Diagnose and resolve deep-seated data issues and pipeline bottlenecks; Monitor, benchmark, and tune system performance; Analyze business logic requirements to develop data specifications and schemas; Clean, structure, and interpret large data sets to create optimized feature stores
Seniority
Senior, hands-on IC
