Data Scientist

Apple Inc

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $181,100–$318,400 / yr
Posted: 20 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $151k

This role $250k

$73k most similar roles pay here $345k

This role pays more than 98% of similar roles. Most pay $126,800–$176,100 — the shaded band above. At the midpoint, this role pays about $250k versus about $151k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 969 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 756 roles with salary data.

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At a glance

TL;DR · Data Scientist

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Apple is seeking a senior Data Scientist to join its cutting-edge team focused on algorithm evaluation for next-generation intelligent systems. In this role, you will define and drive the evaluation strategy, methodologies, and metrics for complex machine learning and algorithmic systems across various product areas. Your responsibilities include leading technical investigations into algorithm performance, developing quantitative metrics, and establishing scalable frameworks to enhance evaluation efficiency. You will also collaborate with cross-functional teams to integrate AI-assisted workflows, improve data analysis, and automate evaluation processes. The ideal candidate has 7+ years of experience in data science or related fields, expertise in statistical analysis and large-scale data analytics, proficiency in Python for building scalable pipelines, and a deep understanding of algorithm evaluation concepts such as precision/recall tradeoffs and robustness measurement.

Skills

Python SQL Machine Learning Computer Vision Statistical Analysis A/B Testing Causal Inference Advanced Statistical Modeling Algorithm Evaluation Precision/Recall Metrics Confusion Matrix Robustness Measurement Regression Detection Benchmarking Methodologies Large-Scale Data Analytics Automated Evaluation Pipelines Visualization Tools AI-Assisted Workflows LLM-Based Systems Agentic Systems Intelligent Automation

What you'll do

Define and drive evaluation strategy for machine learning systems across products.
Establish scalable frameworks to measure algorithm quality and customer impact.
Lead investigations into algorithm performance using large-scale data analysis.
Develop quantitative metrics to assess algorithm quality in various scenarios.
Drive root-cause analysis of failures and partner with engineering teams.
Design automated evaluation pipelines and benchmarking systems for efficiency.

What we're looking for

7+ years experience in data science or related technical fields
Expertise in statistical analysis and large-scale data analytics
Deep experience evaluating machine learning and AI systems quantitatively
Strong programming skills in Python for scalable pipelines
Experience conducting algorithm deep dives, failure analysis, and performance investigations
Familiarity with AI-assisted workflows and intelligent automation approaches

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