Apple · 2 months ago
Staff Data Scientist, Platform Economics, Apple Data Platform
Cupertino, California, United States
Full-time
Onsite
Lead/Staff
$181K/yr - $318K/yr
8+ years expApple is a leading technology company known for its innovative products and services. They are seeking a Staff Data Scientist specializing in Platform Economics to define the economic architecture of Apple's Data Platform, focusing on optimizing resource usage and ensuring maximum business value from compute resources.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
As the lead architect for Platform Economics, you will move beyond simple reporting to build a predictive system that optimizes the "supply and demand" of Apple’s infrastructure. You will:
Design Economic Architectures: Architect scalable attribution models that accurately map complex workloads (Compute, GPU, Storage, Network) to product value, ensuring fair and transparent accounting across the organization
Engineer the Data Foundation: Lead the development of data pipelines and telemetry standards that collect, normalize, and enrich usage data from across Apple’s hybrid cloud environment
Drive Algorithmic Efficiency: Analyze utilization patterns to detect structural inefficiencies—identifying idle capacity, unoptimized query patterns, or cold data—and algorithmically surface these opportunities to engineering teams
Define the North Star: Establish the "Unit Economics" and efficiency KPIs that will serve as the primary metrics for engineering performance and resource density
Forecast & Plan: Collaborate with Capacity Planning to build forecasting models that predict future infrastructure demand based on historical growth, architectural shifts, and product roadmaps
Automate Governance: Partner with service engineers to design policy-driven automation (e.g., auto-scaling logic, quota management) based on the economic models you define
Cultivate Data Culture: Mentor engineers and stakeholders on the financial impact of architectural decisions, helping them navigate the trade-offs between performance, speed, and cost
Qualification
Required
8+ years of experience in Data Science, Platform Engineering, or Systems Analytics, with a specific focus on infrastructure economics, scalability, or performance modeling
Expert-level fluency in Python and SQL, with the ability to write production-grade code for data pipelines and analytical models
Deep technical understanding of cloud and hardware economics, including AWS/GCP cost models, on-premise compute lifecycles, and GPU/accelerator unit economics
Proven experience designing attribution models and allocation frameworks. Ability to apply statistical methods, forecasting, and anomaly detection to predict capacity demand and optimize resource provisioning
Hands-on experience with telemetry stacks (e.g., Prometheus, Grafana, Spark logs) to derive utilization insights
Exceptional narrative skills. You can communicate complex quantitative findings to both engineering architects and finance leadership, influencing decisions through data-driven storytelling
Comfort with ambiguity and a proven ability to define structure, taxonomy, and logic in new technical domains
Bachelor's, Master's, or PhD in Computer Science, Economics, Engineering, Mathematics, or related field (or equivalent practical experience)
Preferred
Advanced degree (PhD/Master's) in Computer Science, Economics, Statistics, Operations Research, or a related quantitative field
AI/ML Economics: Experience optimizing resource allocation for large-scale training and inference workloads (LLMs, Foundation Models)
Advanced Forecasting: Experience with recent advancements in forecasting, such as foundation models (e.g., TimesFM), Deep Learning approaches (RNNs, functional generative networks), or XGBoost/Ensemble models
Judgmental Forecasting: Ability to incorporate qualitative business adjustments into model outputs, especially for unprecedented events
Algorithm Design: Background in scheduling algorithms, bin-packing, or capacity allocation
Open Source: Contributions to open-source observability, data engineering, or cloud efficiency frameworks
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase