Reejig seeks a Research Lead to define and validate the methodologies behind its AI-powered workforce insights, partnering with product and engineering. The role combines deep workforce analytics expertise with a rigorous approach to evidence and hands-on experience with LLMs.
What you’ll do
Shape methodologies and models for workforce, work-design, and AI-related insights
Validate analytical approaches against benchmarks, expert judgment, or labelled data
Evaluate AI-generated outputs for reliability
Partner with product and engineering to bring research into the product
Build working models, evaluations, and product capabilities
What you’ll need
6+ years in workforce analytics, people analytics, workforce planning, job architecture, skills, or a related field
Hands-on proficiency with SQL and Python or R
Experience designing metrics, scoring approaches, analytical frameworks, or models and explaining assumptions
Practical experience using LLMs and testing their outputs
Experience validating analytical outputs against benchmarks, expert judgment, or labelled data
Working knowledge of occupational or skills frameworks such as O*NET, ESCO, or similar
Original job description
Reejig is hiring a Research Lead to shape the methodologies and models behind its workforce, work-design and AI-related insights. The role validates analytical approaches, evaluates AI-generated outputs, and partners with product and engineering to bring reliable research into the product.Deep expertise in workforce planning, job architecture, skills,…