Data Scientist

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$141,800–$258,600 / yr
Posted
56 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $154k
This role $200k
$80k most similar roles pay here $278k

This role pays more than 85% of similar roles. Most pay $126,800–$181,855 — the shaded band above. At the midpoint, this role pays about $200k 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

Join Apple Maps as a Data Scientist, a senior-level role within our dynamic cross-functional team dedicated to enhancing routing service quality. You will build scalable tools in Python or Scala for hypothesis generation, design actionable metrics, conduct AB testing, and develop AI/ML models to analyze large datasets. Your day-to-day involves automating data pipelines with SQL and ETL frameworks, communicating insights to engineering and product teams, and exploring cutting-edge ML techniques. Ideal candidates hold an MS/PhD in a quantitative field, have 3+ years of web-scale data analysis experience, and are proficient in Python, Scala, Java, and SQL. Experience with Hadoop, Spark, spatial data analysis, and AB testing is preferred, as well as the ability to translate business needs into technical solutions and mentor junior team members.

What you'll do

  • Build data products and scalable tools to drive hypothesis generation and support decision-making.
  • Design and validate actionable metrics for user engagement and experience measurement.
  • Create effective experiments to evaluate complex data and machine learning systems.
  • Develop models to mine large datasets, extract insights, and recommend product improvements.
  • Automate analyses using SQL and Python/Scala-based ETL frameworks.
  • Communicate insights to influence product direction with data-driven recommendations.

What we're looking for

  • MS/PhD in quantitative fields like Computer Science, Statistics, or Physics.
  • 3+ years experience with web-scale data analysis.
  • Proficiency in Python, Scala, Java, and SQL.
  • Ability to translate business questions into technical requirements using statistical techniques.
  • Design and validate actionable metrics for user engagement and experience.
  • Develop and automate ML models and analyses on large datasets.

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