Data Science & Analytics Senior Manager – Retail Decision Automation

Summary

Posted: Mar 17, 2025

Role Number:200594438

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?

Description

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.

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.

Pay & Benefits

• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $178,900 and $317,600, and your base pay will depend on your skills, qualifications, experience, and location.
  
  Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
  
  Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.