Data Scientist

Apple Inc

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$171,600–$302,200 / yr
Posted
29 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $170k
This role $237k
$104k most similar roles pay here $323k

This role pays more than 90% of similar roles. Most pay $126,800–$213,532 — the shaded band above. At the midpoint, this role pays about $237k versus about $170k 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Data Scientist

Join Apple's HID Quality Engineering team as a Data Scientist to ensure product excellence by building metrics around touch algorithm performance. Your day-to-day will involve writing quality specifications, establishing benchmarks, and developing test scenario frameworks in collaboration with algorithm, platform, and UX research teams. You'll define data requirements, validate new algorithms using repeatable processes, and identify gaps between current validation methods and user needs. Essential skills include a Master’s degree in EE, ECE, CS, Statistics, HCI, or related fields, 5+ years of experience in quality engineering or algorithm evaluation, proficiency with Python for data analysis, and familiarity with statistical methods like A/B testing and regression analysis. This role focuses on translating real user needs into technical requirements to drive consistent quality across diverse touch interactions.

What you'll do

  • Write quality specifications translating user needs into testable requirements.
  • Establish benchmarks and acceptance criteria for touch algorithms.
  • Develop structured test scenario libraries reflecting real-world interactions.
  • Identify gaps in validation approaches compared to user-relevant edge cases.
  • Design data collection, labeling, and analysis plans for effective validation.

What we're looking for

  • MS in EE, ECE, CS, Statistics, HCI, Cognitive Science, or related field required
  • 5+ years experience in quality engineering, test strategy, or ML/algorithm evaluation
  • Experience writing quality specifications and test plans for complex systems
  • Familiarity with statistical methods like A/B testing, regression analysis, significance testing
  • Working proficiency with Python for data exploration and analysis
  • Strong understanding of ML and sensing system behavior, including failure modes and edge cases

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