Application Guide

How to Apply for Senior People Analytics Scientist

at Joby Aviation

🏢 About Joby Aviation

Joby Aviation is pioneering eco-friendly electric aircraft for urban air mobility, combining aerospace innovation with sustainability. Working here means contributing to a transformative vision of quiet, fast, and accessible air travel while being part of a mission-driven team pushing the boundaries of transportation technology.

About This Role

As a Senior People Analytics Scientist at Joby Aviation, you'll build predictive models for turnover risk, performance, and promotion readiness while leading advanced analytics projects like compensation equity analysis and organizational network analysis. This role directly impacts workforce strategy and HR innovation at a rapidly scaling aerospace company, partnering on AI adoption and automation within people processes.

💡 A Day in the Life

A typical day might involve analyzing workforce data to identify turnover risk patterns, collaborating with HR partners on compensation equity analysis, developing predictive models for promotion readiness, and designing research studies using survey and performance data to inform people strategy at a pioneering electric aircraft company.

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Interview Prep

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🎯 Who Joby Aviation Is Looking For

  • Has 6+ years specifically in people analytics with hands-on experience building predictive models for HR outcomes (turnover, performance, engagement) using Python or R
  • Possesses advanced statistical modeling expertise combined with practical experience in survey design, psychometrics, and employee research methodologies
  • Holds a Master's in I-O Psychology, Statistics, or Data Science with applied experience in organizational network analysis and workforce planning scenarios
  • Demonstrates experience partnering with HR teams on AI adoption and automation opportunities within people analytics processes

📝 Tips for Applying to Joby Aviation

1

Highlight specific people analytics projects where you built predictive models for turnover risk, performance, or promotion readiness - quantify impact on retention or performance outcomes

2

Showcase your experience with compensation equity analysis and organizational network analysis using real examples from past roles

3

Demonstrate how you've partnered with HR teams on AI adoption or automation projects within people analytics - be specific about tools and outcomes

4

Tailor your resume to emphasize both your technical skills (Python/R, machine learning) AND your people research/psychometrics background

5

Research Joby's growth stage and mention how your experience aligns with scaling people analytics at a rapidly expanding aerospace company

✉️ What to Emphasize in Your Cover Letter

['Your specific experience building predictive models for HR outcomes (turnover, performance, promotion readiness) with measurable results', "How you've conducted compensation equity analysis and organizational network analysis in previous roles", 'Your approach to partnering with HR teams on AI adoption and automation within people analytics processes', "Why you're drawn to applying people analytics in the unique context of aerospace/aviation innovation at Joby"]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Joby's current growth stage, funding rounds, and manufacturing/delivery timelines to understand workforce scaling needs
  • → The company's mission around eco-friendly electric aircraft and how that might influence company culture and employee values
  • → Recent news about Joby's FAA certification progress and expansion plans to understand organizational context
  • → The aerospace/aviation industry's specific workforce challenges and how people analytics could address them

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk me through a specific predictive model you built for turnover risk or performance prediction - what data sources, methods, and business impact?
2 How would you design a compensation equity analysis for a rapidly scaling aerospace company like Joby?
3 Describe your experience with organizational network analysis and how you've used it to inform workforce decisions
4 How have you partnered with HR teams to implement AI or automation in people analytics processes?
5 What unique people analytics challenges might arise in an aerospace manufacturing environment, and how would you approach them?
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⚠️ Common Mistakes to Avoid

  • Presenting only generic data science experience without specific people analytics/HR context and outcomes
  • Failing to demonstrate both technical modeling skills AND understanding of organizational psychology/employee research
  • Not showing how your experience aligns with the unique challenges of a scaling aerospace/aviation company

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Joby Aviation!

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