Data Scientist, Maps Evaluation

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $141,800–$258,600 / yr
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $156k

This role $200k

$80k most similar roles pay here $278k

This role pays more than 86% of similar roles. Most pay $126,800–$184,337 — the shaded band above. At the midpoint, this role pays about $200k versus about $156k 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 1777 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1443 roles with salary data.

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At a glance

TL;DR · Data Scientist, Maps Evaluation

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As a Data Scientist on the Maps Evaluation team, you will work in a dynamic environment focused on enhancing Apple Maps through rigorous evaluation and analysis. Your responsibilities include building scalable tools and data products using Python or Scala to support decision-making across Product, Design, Engineering, and Marketing teams. You will design actionable metrics for user engagement and product performance, analyze large datasets with machine learning models, and automate analyses via SQL and ETL frameworks. The role requires expertise in Python, SQL, and experience with big data technologies like Hadoop and Spark, as well as strong communication skills to influence product direction based on data insights. This position is crucial for driving the success of Apple Maps by addressing complex business challenges through innovative data solutions.

Skills

Python Scala SQL Snowflake Hadoop Spark AB testing Causal inference Information retrieval Monetization analytics CI/CD

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.
Analyze user behavior, product performance, and business opportunities to support monetization strategy.
Develop models and analyses to extract insights from large datasets and recommend product improvements.
Automate analyses and pipelines using SQL and Python/Scala-based ETL frameworks.

What we're looking for

MS/PhD in quantitative fields such as Computer Science, Statistics, or Physics.
3+ years experience in large-scale web data analysis.
Proficiency in Python and SQL for data manipulation and analysis.
Ability to translate business needs into technical requirements using statistical methods.
Experience with AB testing, causal inference, and information retrieval.
Capable of developing and automating analytics pipelines at scale.
Strong communication skills for presenting insights to cross-functional teams.

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