Machine Learning (ML) Data Scientist - ISE Analytics and User Studies, Input Experience

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $172,100–$305,600 / yr
Posted: 17 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k

This role $239k

$131k most similar roles pay here $324k

This role pays more than 78% of similar roles. Most pay $162,000–$236,900 — the shaded band above. At the midpoint, this role pays about $239k versus about $199k for comparable roles.

Based on 239 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Machine Learning (ML) Data Scientist - ISE Analytics and User Studies, Input Experience

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As a Machine Learning Data Scientist at Apple’s Intelligent System Experience (ISE) group, you will join a dynamic team focused on translating user data into actionable insights for product development across iOS, iPadOS, and macOS. Your daily responsibilities include analyzing quantitative and qualitative data to inform engineering, design, and marketing teams about feature usage and model performance, particularly for innovative features like Genmoji and Smart Reply. You will develop robust monitoring systems, optimize data pipelines, and create compelling visualizations using tools such as Python, SQL, Tableau, and Spark. Ideal candidates have a Master’s or PhD in Data Science or related fields with extensive experience in statistical analysis, scripting languages, and big data processing. The role requires strong communication skills to present complex insights effectively across multiple time zones and projects, fostering a culture of data-driven decision-making within Apple.

Skills

Python SQL Splunk Tableau A/B testing Statistical analysis Machine Learning Big data Spark PySpark Natural Language Processing CI/CD

What you'll do

Analyze quantitative and qualitative data from multiple sources to provide actionable insights for product teams.
Develop and implement monitoring systems to ensure continuous performance of machine learning models at scale.
Proactively improve existing data pipelines and reduce storage loads for efficient feature performance.
Present accurate data analyses, visualizations, and key insights through compelling narratives to stakeholders.
Mentor fellow data scientists on technical best practices and foster a culture informed by data science principles.

What we're looking for

Master’s or PhD in Data Science, Statistics, Engineering, or related field plus 3+ years industry experience.
Proficient in Python for data processing and development, and SQL/Splunk for querying.
Expertise in Tableau or similar tools for designing dashboards and reports.
Strong foundation in statistical analysis, including A/B testing and complex analyses.
Experience with non-English/multilingual data and understanding global cultures.
Background in applying machine learning to solve business problems, especially product launches.

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