Talent Intelligence Research Engineer

Requirements

• 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.

Additional Information

Position Overview: Our consultants work side by side with client organizations to help them make smarter decisions about their people. The Talent Intelligence Research Engineer is the analytical engine behind that work. In this role, you will be embedded on client-facing consulting teams, working directly with clients to answer complex questions about their workforce and talent landscape. The data you work with spans publicly available talent and talent-adjacent data, as well as clients' own workforce data. The questions you'll tackle might look like: How much should we be paying for this role in this market? Where does the talent we need actually exist, and can we compete for it? How does our workforce compare to our competitors? What skills does our organization have today, and what are we missing? To answer those questions, you'll pull from a wide toolkit, writing code, scraping and acquiring data from public sources, applying natural language processing, machine learning, and AI techniques, and designing custom analytical approaches when no off-the-shelf solution exists. Every engagement is different, and the problems are genuinely novel. This is not a role that maintains systems or runs recurring reports. It is investigative and project-based by nature. You'll move from engagement to engagement, working alongside consultants and client business leaders to develop proprietary methodologies, build analytical capabilities that don't exist anywhere else, and deliver the data assets and insights that help clients make better decisions about their talent, workforce, organization, and leadership.

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Company Intel

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