Talent Intelligence Research Engineer

Workforce & Talent Intelligence

Conduct research and analysis related to labor markets, compensation, talent availability, workforce composition, organizational structures, skills, and recruiting dynamics.

Develop methodologies to estimate or infer workforce attributes that are not directly observable.

Analyze talent pools, labor supply, competitive hiring environments, and organizational capabilities.

Produce actionable talent intelligence for client engagement s .

Communicate findings, assumptions, confidence levels, and limitations to both technical and non-technical audiences.

Research Engineering & Data Acquisition

Acquire data from public, commercial, and proprietary sources.

Develop custom web scraping, extraction, and enrichment workflows to support research initiatives.

Build one-off software tools and analytical applications required to answer specific business questions.

Evaluate data quality, completeness, and reliability across multiple sources.

Rapidly learn and apply new technologies , techniques, and datasets as project requirements evolve.

Machine Learning, AI & Advanced Analytics

Apply machine learning, natural language processing, statistical methods, and generative AI techniques to solve talent intelligence problems.

D evelop similarity, matching, classification, clustering, ranking, and inference approaches when appropriate .

Leverage large language models and modern AI tooling to accelerate research and insight generation.

Design experiments and validation approaches to assess analytical accuracy and reliability.

Translate analytical outputs into practical business recommendations.

Consulting & Collaboration

Partner with consultants, researchers, and client-facing stakeholders to understand business challenges.

Contribute to the development of proprietary talent intelligence methodologies and intellectual property.

Support client engagements through research, analytical problem solving, and technical expertise .

Present research findings and recommendations to clients and internal stakeholders.

Share tools, approaches, and best practices across the organization.

Qualifications:

Required Qualifications

Bachelor's degree in Computer Science , Data Science, Statistics, Economics, Mathematics, Engineering, Social Sciences, or a related quantitative field.

4-6 years of relevant experience

Experience conducting independent analytical or research-oriented projects.

Strong programming skills, particularly in Python.

Strong analytical reasoning and problem-solving abilities.

Ability to work effectively in ambiguous environments with limited precedent or direction.

Excellent written and verbal communication skills.

Experience with labor market, workforce, recruiting, compensation, or organizational data.

Experience working with large structured and unstructured datasets.

Must be able to obtain and maintain a U.S. Government security clearance.

Preferred Qualifications

Experience with web scraping, data acquisition, and information extraction.

Experience with machine learning, NLP, or AI-assisted analytics.

Exposure to consulting, market intelligence, economic research, competitive intelligence, or workforce analytics environments.