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Data Scientist

Apple - Sunnyvale, United States of America

Posted May 15, 2026

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
$181K-$318K 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

123% 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
Mid 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 Sunnyvale, United States of America At Apple, we believe extraordinary products are built through deep understanding, rigorous analysis, and relentless focus on quality. We are seeking an exceptional Data Scientist to lead algorithm evaluation and performance intelligence for next-generation intelligent systems. In this highly visible technical role, you will define how algorithm quality is measured, understood, and improved. You will drive evaluation methodologies, establish scalable metrics frameworks, and lead deep technical investigations into algorithm behavior, failure modes, and system performance. Working at the intersection of machine learning, data science, and product quality, you will influence critical decisions through data-driven insights and technical leadership. You will collaborate closely with algorithm engineers, machine learning researchers, QA, annotation teams, and cross-functional partners to shape evaluation strategy and improve the robustness, reliability, and customer experience of intelligent systems at scale. This role also requires identifying opportunities to leverage agentic systems and AI-assisted workflows to improve efficiency, scalability, and technical depth in evaluation and analysis. As a Data Scientist focused on Algorithm Evaluation, you will serve as a technical leader responsible for driving end-to-end evaluation strategy for complex algorithmic systems. You will develop rigorous methodologies to assess algorithm quality, identify failure patterns, and quantify system behavior across large-scale datasets and real-world scenarios. You will lead deep dives into algorithm performance, uncover insights through advanced statistical analysis, and establish scalable frameworks to improve evaluation efficiency and confidence in product decisions. You will also help shape how agentic solutions and AI-assisted tooling are integrated into

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