Talent Intelligence Research Engineer
Job Location:
Alexandria, VA - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
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 withspans publicly available talent and talent-adjacent data as well asclientsown workforce data.
The questionsyoulltackle might look like: How much should we be paying for this role in this marketWhere does the talent we need actually exist and can we compete for itHow does our workforce compare to our competitors What skills does our organization have today and what are we missing
To answer those questionsyoullpull from a wide toolkit writing codescrapingandacquiringdata from public sources applyingnatural language processingmachinelearning andAItechniques 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 thatmaintainssystems or runs recurring reports. It is investigative and project-based by nature. Youll move from engagement to engagement working alongside consultants and client business leaders to develop proprietary methodologies build analytical capabilities that dont exist anywhere else and deliver the data assets and insights that help clients make better decisions about their talent workforce organization and leadership.
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 engagements.
Communicate findings assumptions confidence levels and limitations to both technical and non-technical audiences.
Research Engineering & Data Acquisition
Acquiredata from public commercial and proprietary sources.
Develop custom web scraping extraction and enrichment workflows to support research initiatives.
Build one-offsoftwaretools and analytical applicationsto answer specific business questions.
Evaluate data quality completeness and reliability across multiple sources.
Rapidly learn and applynew 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.
Develop similarity matching classification clustering ranking and inference approaches whenappropriate.
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 researchersandclient-facing stakeholders to understand business challenges.
Contribute to the development of proprietary talent intelligence methodologies and intellectual property.
Support clientengagementsthrough research analytical problem solving and technicalexpertise.
Present research findings and recommendations to clients and internal stakeholders.
Share tools approaches and best practices across the organization.
Qualifications:
Required Qualifications
Bachelors 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 andmaintaina 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.
Required Experience:
IC
About Company
Forged in combat and proven across industries, use our Team of Teams® Framework to transform how your people, processes, and technology work together so you can optimize the organization on your terms.
