Data & Analytics Co-op: Taxonomy & Ontology for AI

Hemlock Semiconductor Group

Richland Township (MI)

On-site

USD 25,000 - 33,000

Full time

8 hours ago
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Job summary

Hemlock Semiconductor Group is seeking a motivated IT Co-op to support strategic data and AI initiatives focused on taxonomy, knowledge graphs, and ontology at our Hemlock, MI facility. You will work with stakeholders across the enterprise to define and standardize business terminology and data relationships to improve discovery and accelerate AI analytics.

The role targets undergrad juniors or seniors pursuing IS, CS, Data Science, Library Information Science, Knowledge Management or

Qualifications

  • Must attend a 4-year university and pursue an undergrad degree in IS, CS, Data Science, Library Information Science, Knowledge Management or Engineering.
  • Minimum cumulative GPA 2.7 on a 4.0 scale and junior or senior standing.
  • Must be a full-time student during fall and winter semesters.
  • Able to work full time during the summer Co-op.

Responsibilities

  • Document business terms, concepts, classifications, and data relationships with SMEs.
  • Support development of controlled vocabularies, metadata standards and taxonomy framework.
  • Map concepts to semantic models and ontology structures.
  • Familiarize with semantic modeling standards and suggest applications to HSC data domains.
  • Create and maintain taxonomy documentation and data domain relationships.

Skills

Analytical thinking
Communication
Team collaboration
Documentation

Education

Undergraduate in Information Systems, CS, Data Science, Library Information Science, Knowledge Management or Engineering

Tools

Microsoft Fabric

Job description

Hemlock Semiconductor Group is seeking a motivated IT Co-op to support strategic data and AI initiatives focused on taxonomy, knowledge graphs, and ontology at our Hemlock, MI facility. You will work with stakeholders across the enterprise to define and standardize business terminology and data relationships to improve discovery and accelerate AI analytics.

The role targets undergrad juniors or seniors pursuing IS, CS, Data Science, Library Information Science, Knowledge Management or

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