What are the responsibilities and job description for the Learning Skills Taxonomist position at Udacity?
As a Learning Skills Taxonomist, you will help build out the Knowledge Graphs for Udacity’s growing skills library. You will partner with our content, product development, data, and go-to-market teams to build out ontology for our existing and new content. As the taxonomy expert within Udacity, you will evangelize and educate internal teams on taxonomies.
Job Responsibilities
- Build out tooling using third-party tools (Mondeca) to create and update Udacity’s models.
- Work with content, product, and data teams to build out necessary and scalable tooling and processes for content skills.
- Own the data labeling process and structured data entities, and collaborate with internal teams (content, data) to build out the models for the knowledge graph.
- Utilize data science and machine learning techniques and tools to build and augment knowledge graphs.
- Integrate Content Skills into other skill-based initiatives for our learners and customers.
- partner with engineering stakeholders to integrate various datasets into the knowledge graph as part of the semantic enrichment, and eventually enable querying capabilities of the knowledge graph.
- Create communication tools and artifacts to evangelize and educate others internally on information management principles.
- Collaborate with important stakeholders and experts (both internal and external) to develop a common vocabulary for the taxonomies.
What We Value
- A background in Data Science, Information Management, or other related fields
- 3 years of experience managing and creating taxonomies or ontologies
- Engineering and machine learning skills to understand how NLP can be used to build out the Knowledge Graph.
- Well-versed in SQL, RDF, SPARQL, and Javascript for data labeling and cleaning.
- Ability to communicate with diverse audiences and stakeholders with clarity and depth.
- Life long learner with a passion for educating others.
- Experience working collaboratively across teams to build out scalable systems.
- Detail-oriented with a flexible, can-do attitude.
Salary : $32 - $0