Research Lead: Workforce Insights & AI Metrics

Reejig

New York (NY)

On-site

USD 150,000 - 210,000

Full time

7 days ago
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Job summary

Reejig is seeking a Research Lead to shape methodologies behind workforce insights and develop rigorous models driving capacity, cost and impact measurements. You will combine domain expertise with hands-on analytics, translating workforce questions into testable models for technical teams and senior leaders.

You will lead research across product areas, validate methods with external data, and ensure reliability of AI‑generated outputs while collaborating with product and engineering to move

Qualifications

  • 6+ years in workforce analytics, people analytics, workforce planning, job architecture, skills or a closely related field.
  • Hands‑on proficiency with SQL and either Python or R
  • Experience designing metrics, scoring approaches, analytical frameworks or models and explaining the assumptions behind them
  • 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
  • Familiarity with LLM evaluation approaches and the strengths and limitations of AI‑generated outputs
  • Strong written communication for both technical and executive audiences

Responsibilities

  • Own and evolve the research methodologies that power workforce, work‑design and AI‑related insights across the product
  • Develop practical models for translating task- and role‑level signals into meaningful measures of capacity, cost and impact
  • Use external research, occupational data and customer evidence to validate and improve our methods over time
  • Build evaluation approaches that help us measure the quality and consistency of AI‑generated outputs
  • Shape how roles, tasks, skills, seniority and other workforce concepts are represented so the product remains coherent as it grows
  • Improve the quality and consistency of skills and workforce taxonomies across customer environments
  • Work with LLMs and structured prompting as part of the research and product‑development process, with a strong focus on evaluation and reliability
  • Turn complex methodology into clear, credible explanations for customers, Customer Success and go‑to‑market teams
  • Partner closely with product and engineering to take new research from idea to production safely and measurably

Skills

Workforce analytics
SQL
Python/R
Communication

Tools

Python
R
SQL

Job description

Reejig is seeking a Research Lead to shape methodologies behind workforce insights and develop rigorous models driving capacity, cost and impact measurements. You will combine domain expertise with hands-on analytics, translating workforce questions into testable models for technical teams and senior leaders.

You will lead research across product areas, validate methods with external data, and ensure reliability of AI‑generated outputs while collaborating with product and engineering to move

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