Senior Research Scientist, AI & Workforce Intelligence

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Описание

Accountabilities - Lead the continued development, architecture, and expansion of an AI-powered job analysis engine that transforms labor market data into structured, evidence-based occupational insights. - Build, evaluate, and refine machine learning models that infer job content, cognitive complexity, occupational interests, and related attributes from unstructured text and diverse data sources. - Apply modern NLP techniques, including embeddings, semantic search, clustering, text classification, transformer architectures, and model tuning, to improve job analysis coverage and accuracy. - Integrate and extend established occupational frameworks, such as O*NET and ESCO, while developing approaches that capture emerging roles and evolving workforce requirements beyond existing taxonomies. - Collaborate with product managers, software engineers, and I-O psychologists to translate scientific requirements into scalable AI capabilities across assessment interpretation, manager and team reporting, coaching content, and employee development. - Advise cross-functional teams on appropriate AI and machine learning approaches, clarifying technical limitations, evaluation standards, uncertainty, and the role of human expertise. - Establish and apply rigorous evaluation methods for generative AI outputs, including rubric-based assessments, groundedness checks, error analysis, regression testing, and quality assurance for generated job descriptions and work-context summaries. - Ensure AI-

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