Staff Data Scientist, Platform Economics, Apple Data Platform

This role is based in Cupertino, California.

Compensation:

$181,100 - $318,400/year

What you'll do:

Define the economic architecture of Apple’s Data Platform, design data models, and implement cost-control measures.

Responsibilities:

• Design & Build Financial Pipelines: Develop petabyte-scale data pipelines for usage telemetry.
• Implement Governance Logic: Create code for financial governance and budget tracking.
• Data Quality & Reliability: Ensure health and accuracy of financial datasets.
• FinOps Tooling: Build APIs for cost metrics delivery.
• System Optimization: Tune data processing jobs for performance and cost-effectiveness.
• Collaboration: Work with Data Scientists and Platform Engineers to integrate economic models.

Minimum Qualifications:

• 5+ years in Data Engineering or related fields.
• Proficiency in Apache Spark, Flink, and modern data formats.
• Strong coding skills in Java, Scala, or Python.
• Familiarity with cloud infrastructure (AWS/GCP/Kubernetes).
• Experience in data modeling and schema evolution.
• Education: Bachelor’s, Master’s, or PhD in relevant fields.

Preferred Qualifications:

• Experience with cloud billing data and cost management.
• Knowledge of Kubernetes and real-time data pipelines.