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 economic architectures, design data models, and optimize resource usage for Apple's Data Platform.

Responsibilities:

• Architect scalable attribution models for resource mapping.
• Lead development of data pipelines and telemetry standards.
• Analyze utilization patterns to identify inefficiencies.
• Collaborate on forecasting models for infrastructure demand.
• Mentor engineers on financial impacts of architectural decisions.

Minimum Qualifications:

• 8+ years in Data Science or Platform Engineering.
• Expertise in Python and SQL.
• Deep understanding of cloud economics.
• Experience with telemetry stacks.

Preferred Qualifications:

• Advanced degree in a quantitative field.
• Experience with AI/ML economics.
• Background in algorithm design and capacity allocation.