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
51 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 serve as a primary thought partner for cross-functional stakeholders like Finance and Engineering. The ideal candidate possesses expertise in statistics, experimentation design, causal inference, and machine learning methodologies, with proficiency in SQL and Python to manage large, complex datasets and production-level analytics systems 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 use of LLMs and AI-assisted tools to accelerate insights and modeling workflows.
  • Develop a multi-quarter analytical roadmap aligned with business priorities and organizational goals.
  • Translate complex business questions into structured analytical frameworks and actionable decision-making evidence.
  • Serve as a primary thought partner for cross-functional stakeholders in Finance, Marketing, Engineering, and Product.

What we're looking for

  • Bachelor's degree in Computer Science, Statistics, Applied Math, Engineering, or a related field.
  • 10+ years of experience in data science, analytics, or applied machine learning.
  • 2+ years of experience leading, mentoring, and scaling data-focused teams.
  • 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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