Senior Research Scientist, AI & Workforce Intelligence
W
WonderlicAI/ML assessment science
Work from anywhere in the United StatesFull-TimeSenior
Salary130,000 - 150,000 USD per year
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Job Details
- Experience
- Minimum 3 years of applied industry experience; 5+ years preferred
- Required Skills
- NLP
Requirements
- Graduate degree in I-O Psychology, Organizational Psychology, Organizational Development, or a closely related field; quantitative focus strongly preferred.
- Demonstrated ML engineering experience with shipped, production-grade systems.
- Experience applying modern NLP methods to behavioral, assessment-based, or labor market data.
- Track record of work that is technically sound and legally or professionally defensible.
- At least 3 years of applied industry experience; 5+ years preferred.
- Applied NLP and ML skills, including embeddings, semantic search, clustering, text classification, transformer architectures, model tuning, and evaluation.
- Experience modeling occupational data such as job titles, tasks, skills, competencies, job families, and job similarity.
- Working fluency with assessment and I-O concepts, including job relatedness, criterion relationships, adverse impact, norm groups, assessment profiles, and score interpretation.
- Knowledge of responsible AI in employment contexts, including fairness, explainability, auditability, bias mitigation, and human review.
- Familiarity with occupational taxonomies such as O*NET and ESCO, vocational interests, or cognitive ability frameworks is a plus.
- Experience at the intersection of I-O science and algorithmic fairness is strongly preferred.
Responsibilities
- Own the architecture, integrity, and continued expansion of Wonderlic’s AI job analysis system.
- Build and refine models that infer work content from unstructured text.
- Use labor market data and occupational taxonomies to generate job analysis across thousands of roles.
- Partner with product managers, engineers, and I-O psychologists to translate scientific requirements into AI-powered systems.
- Advise teams on AI approaches for assessment interpretation, manager and team reporting, and coaching content.
- Apply I-O psychology principles, including adverse impact consideration, norm group construction, and evidence-based evaluation standards.
- Ensure AI products meet professional and legal standards for selection and development tools.
- Evaluate and improve the coverage, accuracy, and scientific defensibility of the Jobs Engine.
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