WW RCC Data Scientist

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$172,100–$258,600 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $154k
This role $215k
$90k most similar roles pay here $277k

This role pays more than 91% of similar roles. Most pay $126,800–$181,855 — the shaded band above. At the midpoint, this role pays about $215k versus about $154k 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 969 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 756 roles with salary data.

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View all roles at Apple Inc

At a glance

TL;DR · WW RCC Data Scientist

As a Senior Data Scientist at Apple Store Online's Retail Customer Care (RCC) team, you will lead the analysis of behavioral segmentation, pilot measurement, and AI tool integration to inform innovation strategy. Your daily tasks include defining KPIs for automated customer interaction systems, building analytical frameworks to compare outcomes across models, and applying NLP techniques to analyze conversation data at scale. You will work with structured and unstructured operational data, using statistical modeling and machine learning to drive decisions that impact revenue, cost, and customer experience. Essential skills include Python, SQL, and proficiency in Tableau for data visualization, alongside expertise in text analytics, sentiment analysis, and A/B testing methodologies. This role involves close collaboration with engineering, operations, and product teams to optimize global contact center performance, requiring strong communication and storytelling abilities to translate complex findings into actionable recommendations for senior leadership.

What you'll do

  • Define KPIs and design experiments to optimize automated customer interaction systems, evaluating performance and ROI.
  • Build analytical frameworks to compare outcomes across different service delivery models, informing strategic decisions on automation.
  • Apply statistical and ML techniques to analyze customer interaction patterns, including contact drivers and resolution effectiveness.
  • Partner with cross-functional teams to measure the impact of new technologies, providing actionable recommendations for senior leadership.
  • Develop scalable analytical pipelines and tooling for ongoing measurement and monitoring of performance metrics.
  • Create self-service analytical tools that empower business stakeholders to access routine performance insights independently.

What we're looking for

  • 8+ years of experience in business analytics, web analytics, e-commerce, or customer analytics.
  • Bachelor’s degree in a quantitative field with strong programming skills in Python and SQL.
  • Experience defining performance metrics and KPIs for new systems or technologies.
  • Hands-on experience with text analytics, NLP, sentiment analysis, and large-scale conversation data.
  • Strong ability to design and analyze A/B tests and quasi-experimental methods.
  • Proficiency in data visualization tools like Tableau and strong communication skills.

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