• Lead data science initiatives end-to-end—from scoping and data prep to modeling, visualization, and delivery
• Provide technical direction and review analytical approaches, ML models, and dashboards
• Set standards for code and data quality, reproducibility, and production readiness, partnering with Engineering and ML teams on scalable solutions
• Champion the responsible use of LLMs and AI-assisted tooling to accelerate insights, visualization, and modeling
• Set the analytical vision and multi-quarter roadmap, aligned to business priorities and Apple's broader goals
• Prioritize competing initiatives, balancing quick wins against long-term platform and capability investments
• Anticipate where the discipline is heading—including AI/LLM and agentic workflows—and shape the team's capabilities accordingly
• Translate business questions into analytical frameworks, and analytical results into actionable decisions
• Serve as the primary thought partner for Finance, Marketing, Engineering, Product, and cross-functional stakeholders
Minimum Qualifications
10+ years of experience in data science, analytics, or applied machine learning
2+ years leading, mentoring, and scaling data-focused teams
Bachelor's degree in Computer Science, Statistics, Applied Math, Engineering, or a related field
Preferred Qualifications
Strong foundation in statistics, experimentation design, causal inference, and ML methodologies
Proficiency in SQL and Python
Experience with large, complex datasets, data pipelines, and production-level analytics systems
Proven ability to drive measurable business impact through data and automation
Exceptional communication skills, able to influence technical and non-technical stakeholders
Ability to operate effectively in ambiguous, complex environments and set clear direction