Demographic Data Scientist

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Austin, TX
Posted
14 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. This role involves distilling complex data into actionable, intuitive visualizations from a human interaction perspective to improve hardware products. Day-to-day responsibilities include writing scripts to preprocess and verify data integrity from various sources, conducting data exploration, performing mathematical modeling, and creating custom visualizations for decision makers. The candidate will collaborate with cross-functional teams to identify trends and build tools for easier analysis. Required skills include proficiency in scripting languages like Python, R, or Matlab, along with deep knowledge of statistical analysis, linear algebra, geometry, optimization, and inference techniques. Specialized experience may include population modeling, Bayesian methods, Monte Carlo simulations, and working with anthropometric, biometric, or perception data to understand human variation.

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 hardware products.
  • 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 understand human variation in populations.
  • Communicate data-driven solutions and trends through presentations to various stakeholders.

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 with population modeling, inference, weighting, and simulation techniques such as Monte Carlo methods.
  • Proficiency in Bayesian methods to identify trends and anomalies in multivariate or large-scale datasets.
  • Experience making inferences from small-scale datasets.
  • Experience with human anthropometric, biometric, or perception/preference data.
  • Experience using generative AI tools in workflows.

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