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Data Scientist

Apple - Sunnyvale, United States of America

Posted May 15, 2026

Benefits

Parental leave
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Not verified last checked Jun 13, 2026
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401(k) match
Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Schedule

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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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