Demographic Data Scientist

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Austin, TX
Posted
70 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $162k
$96k most similar roles pay here $229k

This listing doesn't post a salary. Most similar roles pay $126,800–$198,000.

Based on 240 similar postings.

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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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Demographic Data Scientist

The Demographic Data Scientist joins a human factors design team to analyze human populations using statistics, computer programming, and machine learning. In this role, you will develop and improve hardware products by distilling complex data into actionable, intuitive visualizations from a human interaction perspective. Daily responsibilities include writing scripts to preprocess and verify data integrity, conducting exploratory analysis, performing mathematical modeling, and creating custom visualizations for decision-makers. You will collaborate with cross-functional teams to identify trends and build tools for easier future analysis. The role requires proficiency in scripting languages like Python, R, or Matlab, along with expertise in linear algebra, geometry, optimization, and inference techniques. You will apply these skills to model human variation, manage small-scale datasets, and utilize methods such as Bayesian statistics or Monte Carlo simulations to understand population diversity.

What you'll do

  • Write scripts to pre-process, clean, and verify data integrity from various sources and formats.
  • Investigate new data sources to extend and improve insights for product development.
  • Conduct data exploration including QA/QC, statistical analysis, and mathematical modeling.
  • Create custom visualizations to help decision-makers quickly understand complex data.
  • Build tools that enable easier analysis and visualization for cross-functional teams.
  • Develop statistical or machine learning models to analyze human variation in populations.

What we're looking for

  • Master's degree plus 3 years of experience or a PhD in an analytical field such as Computer Science, Engineering, Statistics, or Physics.
  • Deep knowledge of statistical analysis and modeling tools including linear algebra, geometry, optimization, or inference techniques.
  • Strong programming skills in scripting languages like Python, R, or Matlab to model and visualize data.
  • Experience making inferences from small-scale datasets.
  • Experience with population modeling, inference, weighting, and simulation techniques such as Monte Carlo methods.
  • Experience with statistical methods such as Bayesian methods for identifying trends in multivariate or large-scale datasets.
  • Experience with human anthropometric, biometric, or perception/preference data.
  • Experience using generative AI tools in workflows.

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