Manager, Product Management Data Scientist

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $212,600–$376,300 / yr
Posted: 1 day ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $189k

This role $294k

$120k most similar roles pay here $404k

This role pays more than 96% of similar roles. Most pay $155,795–$221,750 — the shaded band above. At the midpoint, this role pays about $294k versus about $189k 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 1830 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 1500 roles with salary data.

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View all roles at Apple Inc

At a glance

TL;DR · Manager, Product Management Data Scientist

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As a Manager of Product Management Data Science in the Worldwide Product Marketing group, you will lead a team that uses data-driven insights to support critical product management decisions. Your day-to-day involves defining analytical frameworks, identifying opportunities through AI and LLM-based tools, and translating complex data into actionable recommendations for cross-functional partners and senior leaders. You must have strong skills in Python (pandas, NumPy, SciPy), PySpark, Spark, and database manipulation with Postgres or sqlite. Experience with developing AI-assisted analysis workflows and agentic systems is essential. This role requires exceptional interpersonal and communication skills to engage stakeholders at all levels and drive technical initiatives in ambiguous environments. The team you manage will contribute significantly to shaping product strategy and customer engagement for a company that leverages cutting-edge technology to solve complex business problems.

Skills

Python pandas NumPy SciPy PySpark Spark Postgres LLMs agentic AI workflows AI-assisted analysis workflows data pipeline tools database manipulation collaborative team environment business acumen analytical productivity end-to-end analytics projects incomplete or ambiguous data

What you'll do

Define and lead innovative analyses to deepen understanding of customers and products
Identify new ways to use data for critical product decisions
Present findings clearly to both technical and non-technical audiences
Use LLMs and AI workflows to streamline analysis and accelerate insights
Collaborate with cross-functional teams to translate insights into strategic actions
Develop compelling visualizations that communicate actionable insights effectively
Shape analytical standards and best practices for the team

What we're looking for

7+ years of relevant experience with a graduate degree in quantitative fields or 10+ years with a bachelor's degree
Strong proficiency in Python (pandas, NumPy, SciPy) and data pipeline tools like PySpark and database manipulation skills
Experience developing AI-assisted analysis workflows using foundation models, LLMs, and agentic systems for technical problem-solving
Proven ability to drive technical initiatives in ambiguous, cross-functional environments with a solutions-oriented mindset
Exceptional communication skills to simplify complex topics and engage stakeholders at all levels
Mentored other analysts on the team, providing guidance on analytical approaches, tooling, and best practices

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