Senior Data Science Manager, Worldwide Product Marketing

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$212,600–$319,800 / yr
Posted
52 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k
This role $266k
$144k most similar roles pay here $339k

This role pays more than 90% of similar roles. Most pay $162,843–$231,875 — the shaded band above. At the midpoint, this role pays about $266k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Senior Data Science Manager, Worldwide Product Marketing

As the Senior Data Science Manager - Worldwide Product Marketing, you will lead and grow a high-performing team of data scientists focused on analytics, experimentation, modeling, and providing data-driven insights to shape business strategy and product experiences. You will manage end-to-end initiatives from scoping and data preparation to visualization and delivery while setting the analytical vision and multi-quarter roadmap. Your role involves providing technical direction for machine learning models, ensuring code quality, and championing the responsible use of LLMs and AI-assisted tooling. You will translate complex business questions into actionable frameworks for cross-functional partners in Finance, Marketing, Engineering, and Product. The role requires proficiency in SQL and Python to manage large, complex datasets and production-level analytics systems while applying expertise in statistics, experimentation design, and causal inference within the product marketing domain.

What you'll do

  • Lead data science initiatives from initial scoping and data preparation through modeling, visualization, and final delivery.
  • Provide technical direction and review analytical approaches, machine learning models, and dashboards.
  • Establish standards for code quality, data reproducibility, and production readiness in partnership with Engineering teams.
  • Champion the responsible use of LLMs and AI-assisted tools to accelerate insights and modeling.
  • Develop a multi-quarter analytical roadmap aligned with business priorities and corporate goals.
  • Translate complex business questions into structured analytical frameworks and actionable decision-making evidence.
  • Prioritize competing projects by balancing immediate wins against long-term platform and capability investments.
  • Serve as a primary thought partner to cross-functional stakeholders in Finance, Marketing, Engineering, and Product.

What we're looking for

  • 10+ years of experience in data science, analytics, or applied machine learning.
  • 2+ years of experience 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 to influence both technical and non-technical stakeholders.

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