Data Scientist, Business Strategy, Product Marketing

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$175,500–$263,800 / yr
Posted
42 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $163k
This role $220k
$94k most similar roles pay here $282k

This role pays more than 83% of similar roles. Most pay $126,800–$199,325 — the shaded band above. At the midpoint, this role pays about $220k versus about $163k 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 · Data Scientist, Business Strategy, Product Marketing

Data Scientist - Business Strategy, Product Marketing joins the Product Marketing Analytics team to transform customer data into actionable insights and predictive models. This role involves identifying business problems, defining analytical frameworks, and developing end-to-end solutions to improve product adoption and customer engagement. You will build machine learning models using classification, regression, and ensemble methods while designing dashboards to track marketing impacts. The work focuses on analyzing customer behavior for purchase strategies and cross-product expansion. To succeed, you must be proficient in Python or Spark, possess advanced SQL skills for Snowflake data modeling, and utilize Tableau for visualization. Additionally, the role requires leveraging LLMs and agentic AI workflows to automate tasks and accelerate insight generation. You will collaborate with Engineering and Machine Learning teams to build scalable pipelines and production-ready solutions within a complex product ecosystem.

What does a Data Scientist earn in California?

Median $208978 from 66 postings across 27 companies.

See salary data

What you'll do

  • Analyze customer behavior to inform strategies for product purchases, upgrades, and cross-product expansion.
  • Develop machine learning models like classification and regression to optimize personalization efforts.
  • Translate complex analytical findings into clear visualizations and actionable recommendations for leadership.
  • Design and maintain dashboards to track the impact of product launches and marketing activities.
  • Partner with Engineering and Machine Learning teams to build scalable data pipelines and production-ready solutions.
  • Utilize LLMs and agentic AI workflows to automate tasks and accelerate insight generation.
  • Manage end-to-end data preparation, integration, and quality assurance for all modeling projects.

What we're looking for

  • A graduate degree and 4+ years of experience, or a Bachelor's degree and 6 years of relevant experience in a quantitative field.
  • Strong foundation in machine learning methods including classification, regression, clustering, and ensemble techniques.
  • Proficiency in Python or Spark for developing production-level analytical solutions.
  • Advanced SQL skills including query optimization and data modeling in Snowflake.
  • Experience building and maintaining data visualization dashboards using Tableau or other tools.
  • Experience leveraging LLMs and AI-assisted tooling to improve analytical productivity and automate workflows.
  • Ability to translate complex data into actionable recommendations for senior leadership and cross-functional partners.
  • Experience managing end-to-end analytics projects while partnering with technical and non-technical teams.

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