Taxonomist (Onsite) at SRI Tech Solutions Inc. in Austin, Texas

Posted in Other about 2 hours ago.

Type: full-time





Job Description:

Job Description:
  • Must Have - Natural Language Processing (NLP), Graph databases, taxonomies
  • Good to have - PoolParty, TopQuadrant Edge, GraphDB Ontotext

Taxonomist:

large Technologies company is looking for a Taxonomist to fulfill the creation, maintenance, and governance of taxonomies as well as manage the attributes associated with them. Stakeholders include the taxonomy governance group, ontology governance group, product management group, taxonomists, ontologists, system owners, business unit stakeholders and IT developers. It is expected that this role will have a heavy communications component including education.

As a Taxonomist, this person fulfills the following taxonomy roles: Subject Matter Expert, Advocate, Stakeholder Requirements Gatherer, Agreement Facilitator, Project Manager, Educator, Consultant.

Essential Requirements:
  • Minimum 5 years' experience working in taxonomy management and governance in a large organization.
  • Proven record of creating taxonomies from business requirements.
  • Experience researching, identifying, and documenting requirements, as well as enforcing standards, agreements, and charters.
  • Understanding of knowledge content management and development, as well as search and retrieval tools.
  • Basic understanding of semantic ontologies.
  • Familiar with NLP engines.

Personal:
  • Self-starter with a curious mind and good discernment.
  • Proven ability to navigate through ambiguity.
  • Able to work within a complex environment with many stakeholders.
  • Fluent in English.
  • Available to work during US time zones at least 4 hours/day.

Education

Degrees in Computer Science or Library Science

Minors/Certificates in Data Structures and Algorithms, Computational Linguistics

Desirable Requirements:
  • Experience with SKOS standards
  • Experience working with Graph databases, ontologies, and Natural Language Processing strategies (NLP) for relevant and robust optimization
  • Knowledge of TOMS tools like Semantic Web Pool Party, TopQuadrant Edge, GraphDB Ontotext a plus.

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