Data Science & Analytics Senior Manager - Retail Decision Automation
Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.
Apple’s Retail Decision Automation (ML) team is looking for an accomplished data science and analytics leader to help build and lead a diverse team of talented, data professionals, while partnering with business and engineering teams to deliver against our exciting charter.
Do you have experience partnering with engineering teams or technically-leaning product teams with demonstrated strength for applying statistics and experimentation to solve problems?
Partner with machine learning engineering leaders to deliver high-impact science and analytics that optimize the performance of our conversational commerce, recommendations and personalization experiences across Apple.
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.
- 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.
- 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.
- 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.
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. Learn more about your EEO rights as an applicant.