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Data Scientist / Senior Data Scientist, Software Engineering

Apple - Cupertino, United States of America

Posted Nov 6, 2025

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Not verified checked Jun 13, 2026
Salary
$142K-$259K From the posting source checked Jun 20, 2026
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

79% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Data From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Company stage
Public-company From the posting source checked Jun 20, 2026
Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Scientist / Senior Data Scientist, Software Engineering Cupertino, United States of America At Apple, you'll accomplish truly phenomenal things. The SWE Data Science team analyzes and produces insights from diagnostic and usage data from hundreds of millions of devices all over the world. We collaborate with teams across Apple including Engineering, Product, Marketing and Finance to solve challenges and improve the user experience. We are looking for an ambitious data scientist that is excited to work with large, complex datasets and shape the future direction of our products. As a data scientist on the SWE Data Science team, you will use data to drive product decisions and improvements. You will apply quantitative methods and statistical techniques to conduct exploratory data analysis, define new metrics, create compelling data visualizations, and develop analytical frameworks that translate raw data into actionable software development opportunities. You will own the analytical process end-to-end, from architecting and designing scalable and efficient data processing pipelines to conducting deep dive analyses and communicating the results. You will also explore new opportunities to innovate with GenAI and LLMs to accelerate our team's velocity and impact. We are a fast-paced and high-functioning team of data scientists that use the latest Big Data technologies and GenAI to tackle complex, large-scale problems using immense quantities of collected data. This team works closely with core operating systems (iOS, macOS, iPadOS, watchOS and visionOS), application development, and other cross-functional teams across Apple's platforms. The ideal candidate has a strong technical background and is

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