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Data Science & Analytics Manager – Retail Decision Automation
| Company | Apple |
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| Location | Cupertino, CA, USA |
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| Salary | $178900 – $317600 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- 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.
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.
- Perform data analysis, various modeling techniques, and experimentation to uncover trends and insights that inform business decisions.
- Use advanced visualization techniques and data storytelling methods to present findings and communicate key business metrics to stakeholders.
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.
Benefits
No information provided on Benefits.
