Senior Research Scientist, AI & Workforce Intelligence

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the architecture, integrity, and ongoing enhancement of Wonderlic’s AI job analysis system.

• Gather labor market data from sources such as O*NET, LinkedIn, Indeed, and others to facilitate large-scale job analysis.

• Develop and improve models that extract work content from unstructured text.

• Utilize and expand occupational taxonomies like O*NET and ESCO.

• Ensure that system outputs are scientifically valid and can scale as the nature of work changes.

• Collaborate with product managers, engineers, and I-O psychologists to convert scientific requirements into AI-driven systems.

• Provide guidance on AI methodologies for assessment interpretation, team and manager reporting, and coaching content.

• Act as an internal expert on ML and AI capabilities and limitations within assessment and organizational contexts.

• Contribute to enhancing Wonderlic’s external scientific credibility.

• Implement I-O psychology principles, including considerations for adverse impact, norm group creation, and evidence-based evaluation standards.

• Ensure that AI products comply with professional and legal standards for selection and development tools.

• Build relationships with I-O and Product teams to create a roadmap for AI integration.

• Enhance the Jobs Engine’s reach, precision, coverage, and quality of inferences.

• Assist in the development of new assessments using cutting-edge technologies for more comprehensive and secure evaluation.

⛳️ Requirements

• A graduate degree in I-O Psychology, Organizational Psychology, Organizational Development, or a closely related field; a quantitative focus is highly preferred.

• Proven ML engineering experience with deployed, production-grade systems, rather than just research or academic projects.

• Experience utilizing modern NLP techniques on behavioral, assessment-based, or labor market data.

• A history of producing work that is technically robust and legally/professionally defensible.

• At least 3 years of relevant industry experience.

• Proficient in NLP and ML engineering skills, including embeddings, semantic search, clustering, text classification, transformer architectures, model tuning, and evaluation.

• Knowledge of occupational data modeling, encompassing job titles, task descriptions, skills, competencies, credentials, job families, seniority levels, title normalization, job similarity, and role differentiation, including O*NET and ESCO.

• Sound judgment regarding Responsible AI in employment contexts, focusing on fairness, explainability, auditability, bias mitigation, human review, and legal and ethical considerations.

• Skills in evaluating Generative AI, including rubric-based reviews, groundedness checks, error analysis, regression testing, and assessing LLM outputs.

• Strong product judgment for applied ML systems.

• Working knowledge of assessment and I/O concepts, encompassing job relatedness, criterion relationships, adverse impact, norm groups, assessment profiles, and score interpretation.

• Capability to tackle ambiguous, high-complexity problems.

• Experience at the intersection of I-O science and algorithmic fairness is highly desirable.

• Familiarity with occupational taxonomies, vocational interests, or cognitive ability frameworks is a significant advantage.

🏝️ Benefits

• Full-time, 32-hour workweek distributed over four days.

• Generous paid time off (PTO).

• Paid holidays.

• Paid company shutdown from December 24 through January 1.

• Medical coverage.

• Dental coverage.

• Vision coverage.

• 401(k) plan with company matching.

• 10 weeks of paid parental leave.

• Dedicated wellness benefit.

• Remote work flexibility from anywhere in the United States.