Senior Data Scientist, Marketing Analytics
Quick summary
- Work type
- On-site
- Location
- Cupertino, CA
- Salary
- $172,100–$258,600 / yr
- Posted
- 22 days ago
Market check
Salary context
How this pay compares to similar roles
This role pays more than 79% of similar roles. Most pay $131,500–$211,200 — the shaded band above. At the midpoint, this role pays about $215k versus about $171k 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 638 open roles on FindRole.
Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.
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At a glance
TL;DR · Senior Data Scientist, Marketing Analytics
As a Senior Data Scientist on Apple’s Product Marketing Analytics team, you will collaborate closely with Marketing Communications and cross-functional partners to develop customer insights and predictive models that drive personalized marketing strategies. Your daily tasks include identifying business problems, defining analytical frameworks, and creating clear visualizations and actionable recommendations using advanced AI and machine learning techniques. You will lead end-to-end analytical initiatives from data preparation through modeling and delivery, while working with Engineering and Machine Learning teams to build scalable solutions. Key technologies and tools you’ll use include Python or Spark for production-level analytics, Snowflake for SQL queries, and Tableau for dashboard creation. Additionally, you will leverage LLMs and AI workflows to enhance analytical productivity and streamline tasks. This role requires a strong background in machine learning methods, data visualization, and the ability to work with incomplete data sets in a fast-paced environment.
Skills
What you'll do
- Identify business problems and analyze customer behavior for marketing strategies.
- Develop predictive models using machine learning techniques to optimize personalization.
- Design and maintain Tableau dashboards to track product launch impacts regularly.
- Partner with engineering teams to build scalable data pipelines and solutions.
- Use LLMs and AI workflows to streamline analysis and automate tasks efficiently.
What we're looking for
- Graduate degree in quantitative field with 4+ years of experience or Bachelor's with 6+ years, focusing on analytics and machine learning.
- Strong expertise 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 for query optimization and data modeling in Snowflake.
- Experience building and maintaining Tableau dashboards for data visualization.
- Ability to translate complex analytical insights into actionable recommendations for business strategy.
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