Taxonomy - Open Community

The Knowledge Management (KM) Capability sits at the intersection of enterprise platform service design, semantic data engineering, and taxonomy governance for the organization. The team operates in a multi-faceted role, which includes performing complex data analysis to improve knowledge representation and consumption of unstructured data in systems, develop data transformation pipelines that join multiple data sets in the HealthStream knowledge graph, and collaborating across the organization to help define the customer experience for knowledge discovery and access on the HealthStream platform. Members of the KM team own the end-to-end development of knowledge graph features for HealthStream recommendation engines, data, and content domains, using both industry standards and proprietary technical tools.

ESSENTIAL DUTIES OR RESPONSIBILITIES:

As a Semantic/Knowledge Engineer on the KM team, you will contribute to projects focusing on the design, creation, and deployment of knowledge models that translate business needs and domain expertise into machine actionable platform level services. Primary responsibilities will include:

• oversight of HealthStream's metadata assets, primarily taxonomy, ontology, and content data
• supporting current semantic structures, such as multiple ontologies and knowledge graphs, though semantic modeling techniques
• modeling metadata and ontology schema to develop new semantic representations for supporting recommendation functionality
• working with internal teams to guide the development and usage of knowledge structures that enable actionable information to data consumers and applications
• supporting current and establishing new ETL processing rules and data workflows to support and grow current infrastructure
• collaborating with Product, Software Development and Content teams to support current and future API integrations for semantically enabled applications, including recommendation functionality.
• Working with domain and business experts to translate requirements into knowledge models that support machine decision making

1. KNOWLEDGE/EDUCATION AND EXPERIENCE REQUIRED:

• Masters in Information Science, Computer Science, Computational Linguistics, or related field
• Experience developing controlled vocabularies, taxonomies, ontologies, or knowledge graphs and understanding of semantic solutions architecture Knowledge/experience with some knowledge technologies like knowledge graphs, graph databases, text mining, NLP, ontology engineering, machine learning
• Ability to use graph technology and familiarity with semantic web standards such as RDF triple stores, SKOS and OWL to support enterprise level data solutions and data interoperability
• Knowledge of designing and validating metadata models and frameworks for varied data and content types
• Experience with multiple data structures and tools such as relational databases, graph databases, document stores, search indexes, etc. and multiple data formats such as CSV, XML, and JSON.
• Expertise in text analytics and data analysis specifically related to unstructured data
• Experience working with content and domain experts to gather requirements is a plus
• Knowledge in agile process frameworks like Kanban and Scrum is an advantage

2. SKILLS REQUIRED:

• Proficiency in SQL or additional query languages
• Demonstrates ability to construct and design ontologies that support knowledge graph deployment preferred
• Competence in using Python libraries specifically focused on dealing with unstructured text data and knowledge mining a plus
• Ability and willingness to learn new technologies and tools
• Capacity to work with Semantic Web Technologies
• Basic Natural Language Processing (NLP) skills a plus
• Some understanding or knowledge of AWS or cloud-based environments a plus
• Knowledge in data visualization tools/techniques

3. ABILITIES REQUIRED:

• Detail-oriented and an ability to problem-solve independently
• Strong reading and writing skills
• Very strong social and communication skills ability to present ideas clearly and with confidence across diverse settings and groups in the organization
• Ability to work individually and with a team to meet deadlines

HealthStream is an equal opportunity employer. HealthStream prohibits employment practices that discriminate against individual employees or groups of employees on the basis of age, color, disability, national origin, race, religion, sex, sexual orientation, pregnancy, veteran or military status, genetic information or any other category deemed protected by state and/or federal law

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