Lightcast
Associate Data Taxonomist - 1056
Moscow, ID
Sponsorship not specifiedDetected 21 days ago
PythonSQLElasticsearchMachine LearningData VisualizationNLPKQLCommunicationProblem Solving
About the role
- Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India.
- Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses.
- Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives.
Responsibilities
- Partner with cross-functional teams to ensure taxonomies align with business needs and are integrated into data models and databases.
- Implement and maintain data governance processes to ensure data quality, consistency, and accuracy.
- Support labor market data integration and migration projects while maintaining taxonomy integrity.
- Familiarity with data modeling and database design principles.
- We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.
Requirements
- 1+ years of experience in labor market data management, analytics, taxonomy development, or a related field.
Nice to have
- Bachelor's degree in Computer Science, Information Science, Library Science, or a related field.
- Experience with SQL, Elasticsearch, KQL, SPARQL, or similar data query languages is preferred.
- Experience with Python or R and data visualization tools such as Tableau, Looker, or Kibana is a plus.
- Knowledge of labor market taxonomies and ontologies (e.g., NAICS, CIP, ESCO, O*NET-SOC) is preferred.
Benefits
- Develop and maintain taxonomies for labor market data, including job titles, skills, education requirements, and industry classifications.
- Education and Experience:
- Familiarity with NLP or machine learning concepts is a plus.
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This listing is sourced directly from Lightcast's careers page and normalized into a canonical job model.