People Analytics Scientist
Impact: Workforce performance and retention through expert people analytics and predictive modelling
Apply data science and machine learning to HR data to generate insights that improve talent acquisition, employee engagement, retention, and workforce planning. Build predictive models for employee attrition, performance, and career development, and create dashboards that help HR and business leaders make better people decisions.
What the day looks like
- People interaction
- Moderate
- Team vs solo
- 60% Team / 40% Solo
- Client facing
- Sometimes
- Impact visibility
- Moderate
- Travel
- 5 to 10% for team off-sites and conferences
- Schedule flexibility
- Flexible
- Remote work
- Hybrid
- Typical work hours
- 40 to 55 hours/week
- Stress level
- Low
At a glance
- Median salary
- $180,000
- Entry-level
- $100,000 - $135,000
- Senior
- $300,000+
- Growth by 2033
- 22% (faster than average)
- Demand
- Growing Fast
- Freelance potential
- Low
- Salary growth potential
- High - 65 to 80% growth from entry to senior
- Typical student debt
- Low
Skills you'll use
Hard skills
- 55
Soft skills
- 45
Technical complexity: Moderate
How to get there
- Minimum education
- Master's Degree
- Licensing
- No
- Years to mid-career
- 3 to 5 years
- Years to senior
- 7 to 10 years
- Career switching
- Moderate
Where this career leads
How people arrive here
Where you can go from here
Typical progression
- HR Analyst > People Analytics Analyst > People Analytics Scientist > Head of People Analytics > Chief People Officer
Future outlook
- Automation probability
- 15% low risk as people analytics requires deep HR and data science expertise
- AI disruption risk
- Low
- Demand trend
- Growing Fast
How people feel about it
- Overall satisfaction
- 7/10
- Meaning
- 7/10
- Work-life balance
- 6.5/10
- Prestige
- 7/10
- Social perception
- High