People Research Scientist
Crusoe · Denver, CO - US
Infrastructureonsite$140k–$170k
At a glance
Highlights
- Lead scientific research on hiring, retention and engagement as Crusoe scales fast.
- Study a rare workforce spanning tech, manufacturing and global data centers.
- Evaluate people programs with experiments linking them to business outcomes.
What they offer
- Restricted Stock Units
- Bonus
- Paid time off, paid holidays & leave programs
- Comprehensive health, dental & vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance, short-term and long-term disability
- Professional development & tuition reimbursement
- Mental health & wellness support
- Commuter benefits for parking & transit
- Cell phone stipend
- 401(k) with company match up to 4%
- Volunteer time off
- Global travel insurance & emergency assistance
- Daily meals allowance
Ideal candidate
An organizational or behavioral researcher who loves rigorous experiments and translating evidence into people strategy, energized by studying tech, manufacturing and field teams at a fast-scaling AI infrastructure company.
Requirements
- Background in people analytics
- Selection and assessment experience including validation studies
- Experience with adverse impact analysis
- Familiarity with Uniform Guidelines and SIOP Principles
- Experience evaluating HR or L&D programs with quasi-experimental designs
- Deep knowledge of manager effectiveness research and organizational science
- Experience studying frontline, field, skilled-trades or operations workforces
- Experience at high-growth technology, AI/ML, energy or infrastructure company
- Familiarity with network analysis, NLP for open-text feedback, or advanced statistical methods
- Experience with BigQuery, Snowflake, or similar tools
- Experience with Workday, Rippling, Ashby, Lattice or TeamOhana
Lab profile
About Crusoe
Vertically integrated AI infrastructure company powering ambitious AI workloads from electrons to tokens.
What they build
- Crusoe Cloud for AI workloads
- Purpose-built AI data centers
- Managed GPU infrastructure
Known for
- Vertically integrated from electrons to tokens
- Owns and operates full infrastructure stack
- Built for large-scale AI workloads
Key facts
- Founded in 2018
- Headquartered in San Francisco, CA
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