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Human Factors Design Engineer/Data Scientist - Job Opportunity at Apple

Austin, United States
Full-time
Senior
Posted: May 5, 2025
On-site
USD 140,000 - 180,000 per year based on location, role seniority, and Apple's market position

Benefits

Industry-leading healthcare coverage
Competitive compensation package
Professional development opportunities
Collaborative work environment with cutting-edge technology access
Opportunity to work on globally impactful products

Key Responsibilities

Lead data analysis initiatives for human factors design integration across Apple hardware products
Develop and implement advanced statistical models for demographic analysis and human interaction patterns
Create compelling data visualizations to drive executive decision-making
Collaborate with cross-functional teams to optimize product design based on human factors data
Design and execute data processing pipelines for various information sources

Requirements

Education

Masters degree or higher in analytical field

Experience

Not explicitly stated but implied senior level experience

Required Skills

Strong programming skills (Python, R, Matlab) Statistical analysis and modeling Linear algebra Geometry Optimization techniques Data visualization Communication skills Attention to detail Team collaboration
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Sauge AI Market Intelligence

Industry Trends

Increasing focus on human-centered design in tech product development is driving demand for data scientists with human factors expertise Growing intersection of UX research and data science creating unique hybrid roles Rise of anthropometric data integration in product design processes

Role Significance

Likely part of a specialized team of 5-8 professionals within larger human factors organization
Senior individual contributor role with significant impact on product design decisions and user experience outcomes

Key Projects

Hardware product ergonomic optimization User interaction pattern analysis Demographic insight generation for product design Cross-functional data visualization tools development

Success Factors

Strong balance of technical expertise and communication skills Ability to translate complex data insights into actionable design recommendations Experience with human-centered design principles and demographic analysis Collaborative mindset with cross-functional team experience

Market Demand

High demand with limited talent pool due to specialized combination of human factors and data science expertise

Important Skills

Critical Skills

Advanced statistical analysis capabilities for complex demographic data interpretation Data visualization expertise for executive communication Programming proficiency for custom analysis tools development Human factors understanding for practical application of data insights

Beneficial Skills

Experience with anthropometric data analysis Knowledge of industrial design principles Familiarity with hardware development processes Understanding of global demographic variations

Unique Aspects

Rare combination of data science and human factors design in a hardware context
Direct impact on globally distributed consumer products
Access to unique demographic and user interaction datasets

Career Growth

2-4 years in role before advancement opportunities, depending on impact and project success

Potential Next Roles

Principal Human Factors Engineer Technical Lead for Human Factors Human Factors Research Manager Senior Data Science Manager

Company Overview

Apple

Apple maintains its position as a global leader in consumer technology with a strong emphasis on design excellence and user experience

Top-tier technology company with significant resources for research and development in human factors
Austin represents a growing tech hub for Apple with significant investment in specialized roles
Fast-paced, innovation-focused environment with high standards for quality and attention to detail
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Data Sources & Analysis Information

Job Listings Data

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  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.