HR Data Scientist

Apply advanced machine learning and statistical modelling techniques to HR data to develop predictive models, causal analyses, and AI-powered HR tools that improve talent decisions. Build attrition prediction models, develop AI-assisted screening tools, conduct organizational network analyses, and design HR experimentation frameworks. Partner with HR leadership and data engineering teams to productionize HR data science models.

Median salary: $160,000. Projected growth to 2033: 20% (much faster than average) - driven by AI-powered HR and people analytics adoption. Typical education: Master's Degree.

At a glance

Median salary: $160,000
Entry-level: $100,000 - $130,000
Senior: $240,000+
Growth by 2033: 20% (much faster than average) - driven by AI-powered HR and people analytics adoption
Demand: Growing Fast
Remote: Mostly Remote
Hours per week: 40-50 hours/week
Stress: Low

What you'd do

People interaction: Minimal
Team vs solo: 30% Team / 70% Solo
Client facing: Sometimes
Impact visibility: Low

How to get there

Minimum education: Master's Degree
Licensing: No
Years to mid-career: 3-5 years
Years to senior: 7-10 years
Career switching: Very Hard
Typical student debt: $40,000 - $80,000

Skills you'll use

Hard skills

Machine Learning for HR (Python / R / scikit-learn)
Causal Inference & Experimentation Design
Natural Language Processing for HR Text Data
Organizational Network Analysis
HR Data Pipeline & Feature Engineering
Model Deployment & Monitoring

Soft skills

Machine Learning
Statistical Modelling
Data Engineering
Written Communication
Stakeholder Engagement

Technical complexity: Very High

Typical career path

Data Analyst
HR Data Scientist
Senior HR Data Scientist
Principal Data Scientist
Director of People Analytics