FindMy Data Scientist

Apple Inc

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $159k
This role $200k
$80k most similar roles pay here $278k

This role pays more than 82% of similar roles. Most pay $126,800–$191,250 — the shaded band above. At the midpoint, this role pays about $200k versus about $159k 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 · FindMy Data Scientist

Join our dynamic cross-functional team as a Data Scientist at Apple Maps, where you will play a pivotal role in shaping the future of map services and features. You will collaborate closely with engineering and product teams to design experiments, build data products using Python or Scala, and develop actionable metrics for user engagement. Your responsibilities include mining large datasets, automating analyses through SQL and ETL frameworks, and exploring cutting-edge ML techniques to enhance Maps-related systems. Proficiency in Python, SQL, and experience with web-scale data analysis are essential, along with strong communication skills to influence product direction based on data insights. Prior industry experience with Spark/Pyspark and AB testing is preferred, as well as knowledge of cloud-based technologies like AWS.

What you'll do

  • Build data products and tools to drive hypothesis generation and support decision-making with engineering and product teams.
  • Create and validate actionable metrics to measure user engagement and component performance.
  • Design experiments to evaluate complex data and machine learning systems.
  • Develop models to mine large datasets, extract insights, and recommend product improvements.
  • Automate analyses and pipelines 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 or equivalent experience with 3+ years in data analysis.
  • Proficient in Python and SQL for large-scale data processing.
  • Experience designing and validating actionable metrics for user engagement.
  • Capable of developing models to extract insights from big data sets.
  • Strong communication skills to influence product direction with data insights.
  • Familiarity with cloud-based technologies and automation frameworks like Spark/Pyspark.

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