Data Scientist

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$174,304–$241,500 / yr
Posted
42 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $154k
This role $208k
$82k most similar roles pay here $259k

This role pays more than 86% of similar roles. Most pay $126,800–$181,855 — the shaded band above. At the midpoint, this role pays about $208k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Data Scientist

As a Data Scientist at Apple’s Corporate Functions team, you will play a pivotal role in enhancing the online presence of Apple.com by designing and executing data-driven analyses that directly impact website performance. Your day-to-day responsibilities include building and automating data pipelines using Teradata SQL and PIE Compute, creating dashboards for major marketing campaigns with Tableau, and collaborating closely with cross-functional teams to optimize search analytics. You will also maintain and improve test analytics models in Python, analyze customer sentiments from chat and social data, and present findings to diverse audiences. This role requires expertise in SQL, Python, PySpark/PyTorch, and proficiency in tools like Adobe Analytics and Tableau, as well as experience with big data resources such as Hadoop or Snowflake. Your work will significantly influence Apple’s digital strategy and customer engagement efforts on a global scale.

What you'll do

  • Design and execute analyses to measure the impact of Apple.com site changes on traffic.
  • Build and automate data pipelines using Teradata SQL for website analytics.
  • Provide critical search analysis insights to optimize online and app store searches.
  • Analyze retail marketing campaign performance using SQL and Tableau.
  • Maintain and improve test analytics models in Python for customer sentiment analysis.
  • Present large-scale data analyses and results to diverse internal audiences.

What we're looking for

  • Bachelor’s degree in a relevant field with 3 years of experience in data analysis or related role.
  • Expertise in Tableau for creating powerful visualizations and dashboards.
  • Proficiency in SQL, Python, and PySpark/PyTorch for complex data analysis.
  • Experience working with big data technologies like Hadoop and Snowflake.
  • Ability to derive insights from complex customer behavior data using statistical methods.
  • Skill in synthesizing diverse data sources into unified datasets for strategic reporting.

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