Apple

Designs phones, computers and their operating systems

Senior Data Science Manager - Worldwide Product Marketing

Data ScienceConfirmed live in the last 24 hours

Full-timeCupertino, CA, USANo salary listedIn-person

About the Job

Requirements

At least 10 years of experience in data science, analytics, or applied machine learning is required.
At least 2 years of experience leading, mentoring, and scaling data-focused teams is required.
A bachelor's degree in Computer Science, Statistics, Applied Mathematics, Engineering, or a related field is required.

Responsibilities

Lead data science initiatives end-to-end, from scoping and data preparation through modeling, visualization, and delivery.
Provide technical direction and review analytical approaches, machine learning models, and dashboards.
Set standards for code and data quality, reproducibility, and production readiness, partnering with Engineering and Machine Learning teams on scalable solutions.
Champion the responsible use of large language models and artificial intelligence-assisted tooling to accelerate insights, visualization, and modeling.
Set the analytical vision and multi-quarter roadmap aligned with business priorities and Apple's broader goals.
Prioritize competing initiatives, balancing quick wins against long-term platform and capability investments.
Anticipate the direction of the discipline, including artificial intelligence, large language models, 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.

Desired Qualifications

A strong foundation in statistics, experimentation design, causal inference, and machine learning methodologies is preferred.
Proficiency in SQL and Python is preferred.
Experience with large, complex datasets, data pipelines, and production-level analytics systems is preferred.
A proven ability to drive measurable business impact through data and automation is preferred.
Exceptional communication skills and the ability to influence technical and non-technical stakeholders are preferred.
The ability to operate effectively in ambiguous, complex environments and set clear direction is preferred.

Summary

As a Senior Data Science Manager, you will lead and grow a high-performing team of data scientists driving analytics, experimentation, modeling, and data-driven insights that shape business strategy and product experiences. Operating at both the strategic and execution levels, you will set the team's analytical vision and roadmap while staying close enough to the work to guide modeling, machine learning, and production readiness. As a trusted advisor to leadership, you will bring clarity to complex problems and influence decisions with evidence-based recommendations.

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

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

About the Company

Apple

Designs phones, computers and their operating systems

Apple designs and sells consumer electronics, from iPhone smartphones and Mac computers to tablets and wearable devices. Its operating systems manage apps and built-in functions for communication and work, while iCloud stores files and synchronizes data across devices. Customers buy additional digital services through subscriptions such as Apple Music and Apple TV, and developers distribute software through the App Store. Apple earns money from hardware sales, subscriptions and digital transactions, selling directly to customers and through retailers and mobile carriers around the world. It was founded in 1976 and has its headquarters in Cupertino, California.

Company size: 10,001+
Company stage: IPO
Headquarters: Cupertino, CA
Founded: 1976

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