Semantic Data Modeler, Penton, New York, NY
Posted October 19, 2014
You love analyzing requirements and prototyping data models. You enjoy summarizing commonalities and creating data mappings, data dictionaries, and metadata documentation. You would love to share your experiences with peers in the community – contributing code or speaking at conferences.
At Penton, the largest professional information services company in the United States, we are building products for over a dozen key business verticals. Our products include NEXT Trend, the leading natural foods ingredients database and insight tool. In total, our content and data products are used by millions of professionals all over the globe. Be a member of a data and data science team that takes ideas and insights from whiteboard to web browser.
Responsibilities:
- Communicate solutions & reasoning in clear coherent language, and often for a non-technical business audience.
- Assist business users by starting at first principles, formulating and creating solutions from the ground up.
- Develop and create additional functionality to existing solutions.
- Integrate disparate data sets, from a large volume of data.
- Manage multiple projects and deliver completed projects in a timely manner.
Qualifications and Experience:
- Bachelors in Library Science, Information Science, Computer Science, Mathematics, an equivalent field, or demonstrable experience and knowledge of the relevant data modeling, data and metadata management
- Masters is a plus, but not required
- Developing data models from technical and functional requirements
- Developing data mapping, data dictionaries and metadata documents
- Taxonomy and ontology creation and maintenance
- One or more of the following: SQL, UNIX scripting, structured languages (e.g., Java, Python, C++)
Optional Experience:
- RDF, open linked data
- Semantic model creation and maintenance
- Semantic web, semantic enrichment, and controlled vocabularies
- Developing data models for NoSQL
- Using or developing data models for triplestores
- Developing data models for machine learning
If you are interested in joining our dynamic organization, we would enjoy speaking with you about the opportunities available to join our team. EOE
Location is New York, NY and telecommuting is a possibility.