AIML - Data Scientist, Evaluation

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$139,500–$258,100 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $166k
This role $199k
$87k most similar roles pay here $276k

This role pays more than 72% of similar roles. Most pay $126,800–$205,388 — the shaded band above. At the midpoint, this role pays about $199k versus about $166k 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 1785 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1446 roles with salary data.

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At a glance

TL;DR · AIML - Data Scientist, Evaluation

As a Data Scientist at the Evaluation team, you will join a dynamic organization focused on enhancing product development through rigorous data analysis. Your role involves collaborating with engineering teams to refine search quality and guide feature development for Apple’s suite of devices, including iPhone, iPad, and Mac. You will develop evaluation methods to improve user-facing products like Siri and Apple Intelligence, working closely with engineering teams to translate these methods into practical technologies used daily by product engineers. Key responsibilities include analyzing large datasets, conducting complex data analysis, building scalable analysis pipelines, and advocating for changes in product metrics. Essential skills encompass strong programming abilities in languages such as Python or R, proficiency in SQL and Spark, and the capability to articulate technical insights clearly across various stakeholders. This role demands expertise in machine learning algorithms, statistical methods, and a passion for delivering exceptional user experiences at scale.

What you'll do

  • Develop evaluation methods to enhance the quality of Apple's user-facing products like Siri.
  • Translate methodological developments into technologies used daily by product engineering teams.
  • Analyze large, complex datasets using advanced analytical techniques including prompt engineering.
  • Build and prototype analysis pipelines to provide scalable insights for product development.
  • Advocate for changes in product data structures and metrics to improve feature development.

What we're looking for

  • PhD or Master's degree in a quantitative field plus relevant years of experience.
  • Proficiency in machine learning, analytics, and statistical data analysis.
  • Experience crafting and analyzing experiments on data quality and risk assessment.
  • Strong programming skills in SQL, Spark, Python, R, or Scala for data processing.
  • Ability to articulate business questions and translate them into statistical solutions.
  • Strong communication skills for explaining technical topics to various stakeholders.

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