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Services Finance, Data Scientist

Apple - Cupertino, United States of America

Posted May 14, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Mental health support
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Learning budget
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Verification
Not verified last checked Jun 13, 2026
Salary
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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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Weekend work
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Application

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Deadline
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About this role

Services Finance, Data Scientist Cupertino, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. At Apple, you'll share in a commitment to excellence by partnering with a world-class team to create innovative products that delight customers. Finance is about fueling innovation. We do this by hiring quality individuals with integrity, personal accountability, teamwork, excellence, and proactive thinking. If you love thinking analytically and are passionate about using your financial knowledge to navigate challenges, we'd love to hear from you! The Services Finance Data Science and Engineering team is seeking a passionate and highly motivated data scientist who excels at the intersection of traditional data science and modern AI capabilities. You will play a key role in shaping the success of Apple's current and future products by leveraging both foundational data science expertise and cutting-edge AI tools to accelerate solution development. As a member of the Services Finance Data Science and Engineering team, you will partner with various business and engineering teams to translate complex business requirements into data-driven solutions. You will demonstrate proficiency in using AI coding assistants (such as Claude Code, Codex, etc) and leverage agentic AI frameworks to rapidly prototype, iterate, and deploy analytical solutions. Success in this role requires combining strong statistical and machine learning fundamentals with the ability to effectively prompt, guide, and

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