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Apple Data Science & Analytics Manager - Retail Decision Automation United States, Texas, Austin 526766535
11.03.2025
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Description
KEY RESPONSIBILITIES:- Lead and mentor a team responsible for data/business analytics, architecture discussions, performance optimization, and access of reliable data across systems.- Oversee the collection, transformation, and integration of data from multiple sources, ensuring data quality and consistency.
Minimum Qualifications
- MS in Computer Science, Statistics, Applied Math or a related field and 3+ years of industry experience or BS in related field with 5+ years hands-on industry experience.
- 2+ years of experience in hiring and leading teams of data-related engineering roles.
- Working knowledge of data science/analytics best practices, automation techniques, and/or production support of customer-facing programs utilizing machine learning at scale.
Preferred Qualifications
- Expertise in data storytelling, with the ability to translate complex datasets into easy-to-understand visualizations and narratives.
- Strong understanding of how to integrate data context into business storytelling, helping teams connect data insights with strategic objectives.
- Ability to analyze and troubleshoot opportunities for data quality enhancements in support of the program.
- Deep knowledge of how to measure effectiveness in supporting decision-making and driving business performance.
- Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways.
- Makes space to listen, learn, and amplify diverse perspectives and experiences.
- Actively seeks out opportunities to champion and celebrate inclusion and diversity.
Additional Requirements
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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