Applied Data Scientist and Visualization Specialist - Hardware Engineering Product Design

Apple Inc

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$147,400–$272,100 / yr
Posted
65 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $159k
This role $210k
$78k most similar roles pay here $293k

This role pays more than 84% of similar roles. Most pay $126,800–$192,050 — the shaded band above. At the midpoint, this role pays about $210k 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.

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At a glance

TL;DR · Applied Data Scientist and Visualization Specialist - Hardware Engineering Product Design

The Applied Data Scientist and Visualization Specialist role at Apple’s Hardware Engineering Product Design team is a senior position within a collaborative and dynamic group focused on transforming complex data into actionable insights for innovative products used by millions globally. This individual will work closely with cross-functional teams to analyze diverse datasets, including multivariate, geometric, time series, and natural language data, using advanced statistical techniques and machine learning models. Responsibilities include developing bespoke scripts for data processing, creating interactive web applications for intuitive visualizations, and providing guidance on best practices in data analysis and visualization. The ideal candidate should have a master’s degree or equivalent experience in an analytical field, along with 2+ years of relevant work experience, and proficiency in Python, R, SQL, and JavaScript. Experience with 3D data sets and familiarity with recent advances in generative AI are highly valued but not required.

What you'll do

  • Handling and interpreting complex datasets including multivariate, geometric, time series, and natural language data.
  • Developing scripts and tools to process and QA/QC data from various sources for efficient insights extraction.
  • Creating advanced visualizations and statistical analyses to translate technical findings into clear narratives.
  • Building web applications that automate data processing and deliver intuitive visualizations for decision-making.
  • Providing guidance on best practices in data analysis, visualization, and mathematical modeling for internal teams.

What we're looking for

  • Experience writing code and tools for data import, cleaning, analysis, and visualization.
  • Strong background in statistics and judgment to select appropriate methods for problems.
  • Comfort building and evaluating machine learning models with meaningful results.
  • Master's degree or equivalent experience in an analytical field plus 2+ years of relevant work.
  • Eagerness to learn new tools and processes, and help others grow their technical skills.

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