Job description

• 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 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 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

Requirements

Must-haves

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
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
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

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

mlaillmmachine learningsqlpython

Platform: apple
Effort: medium

Benefits

Benefits detected in the listing.

Vision