
501 - 1000 employees
🏢 Enterprise
📚 Education
🏛️ Government
Enterprise • Education • Government
Lightcast is a leading authority on labor market data, providing trusted and comprehensive labor market analytics to drive decisions across education, enterprise, and government sectors. With more than 23 years of experience, Lightcast delivers detailed insights into skills, jobs, supply and demand through an extensive data set generated from millions of job postings, career profiles, and other sources across the globe. Their services are designed to help educational institutions, enterprises, and government organizations build future-ready workforces by using AI-enabled and continuously updated data. Lightcast is globally recognized and trusted by industry innovators, and is a vital resource for organizations navigating workforce challenges and demographic changes in the labor market.
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501 - 1000 employees
🏢 Enterprise
📚 Education
🏛️ Government
Enterprise • Education • Government
Lightcast is a leading authority on labor market data, providing trusted and comprehensive labor market analytics to drive decisions across education, enterprise, and government sectors. With more than 23 years of experience, Lightcast delivers detailed insights into skills, jobs, supply and demand through an extensive data set generated from millions of job postings, career profiles, and other sources across the globe. Their services are designed to help educational institutions, enterprises, and government organizations build future-ready workforces by using AI-enabled and continuously updated data. Lightcast is globally recognized and trusted by industry innovators, and is a vital resource for organizations navigating workforce challenges and demographic changes in the labor market.
• Evaluate and improve the quality, coverage, and relevance of Lightcast’s enriched data, models, and taxonomies. • Analyze and classify large-scale labor market data. • Resolve data ambiguities and develop decision-making frameworks. • Ensure data quality standards.
• Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Mathematics, or a related technical field; advanced degree or equivalent practical experience preferred. • 1–3 years of experience working with ML classification models, taxonomy development, or maintaining proprietary/government taxonomies across various data types. • Experience with SQL and data extraction/query languages such as Elasticsearch, KQL, or SPARQL. • Understanding of text analysis, natural language processing (NLP), machine learning (ML), and statistical analysis techniques preferred. • Experience with AI coding copilots such as Claude or Codex is a plus.
• Equal opportunity workplace • Commitment to diversity of thought and perspectives
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