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Data Scientist - Business Process Re-Engineering

Apple - Austin, United States of America

Posted Mar 25, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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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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Application

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About this role

Data Scientist - Business Process Re-Engineering Austin, United States of America Apple is where extraordinary people do their best work. If making a real impact excites you, a career here might be your dream - just be prepared to dream big! Apple's growing supply chain complexity demands innovative approaches beyond traditional analytics. You'll join a team designing and developing advanced analytics solutions using GenAI, Agentic AI, and modern data science methods to drive decisions. You're passionate about turning data into impactful insights, staying ahead of technology trends, and thrive navigating ambiguity in a fast-paced environment. If this sounds like you, we'd love to talk. Engage with business teams to identify opportunities through in depth conversations and being able to translate those requirements into technical solutions and drive critical projects Design and architect end-to-end data science solutions-selecting from established techniques or engineering novel algorithms tailored to complex supply chain business problems Collaborate with data engineers and infrastructure partners to implement robust solutions and operationalize models. Continuously enhance and evolve deployed solutions through monitoring, feedback loops, and iteration to meet changing business needs with agility Present key findings to leadership to evaluate business impact, in non-technical terms Research and evaluate emerging technologies-including GenAI, agentic frameworks, and advanced visualization tools-to expand the team's technical capabilities and accelerate innovation Champion a culture of experimentation and continuous learning, bringing innovative and strategic thinking to reporting, business analytics, and AI-powered automation Develop custom models, algorithms, and interactive visualizations-including dashboards and self-service tools-to deliver actionable Supply Chain

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