About data.world

data.world was founded in early 2016 and has raised $33 million from leading 
investors. The company was started by serial entrepreneur, Brett Hurt, and an 
experienced co-founding team that previously held leadership roles at HomeAway 
and Bazaarvoice. data.world is a B Corp with a mission to build the world’s 
most collaborative, abundant, and meaningful data resource. We provide a 
platform that improves community, connectivity, and collaboration around data. 
We improve the “first-mile” of data work, where 80% of a data project's time is 
spent and which is riddled with inefficiencies. We’ve been named to the Austin 
Business Journal’s Best Places to Work list every year since the company was 
founded and were named to the Austin Chamber of Commerce’s A-List of Hottest 
Startups in 2017.

We value transparency – we explain our decisions, how we arrived at them, and 
share our Board updates with the team. We take pride in what we do – we commit, 
and we deliver. We are not afraid of mistakes – we take calculated risks and 
strategically push boundaries. Our focus is fierce, but it’s not all hard work. 
You might see us bouldering, at an American Ninja Warrior taping, or at the 
Drafthouse.

 

Job Summary

As the Data Librarian, you will be responsible for data.world’s data catalog, 
take part in developing certain aspects of the data architecture, and will 
serve as a resource between our community and data. You will manage 
data.world’s dataset catalog composed of over 100K datasets by contributing 
more data to the catalog, maintaining the current datasets, and engaging the 
data.world community with data projects curated and developed by you. You will 
also build upon your existing experience with developing/managing taxonomies 
while working closely with linked data technology. As someone who will be work 
intimately with the data, you will also be available to assist our community 
and clients with data related needs. Depending on the task, you may find 
yourself working closely with Data Scientists, our Head of Community, Product 
Managers, Software Engineers, Account Managers, or the Executive Team.

As an ideal candidate, you’re open-minded and motivated, and you’ve had 
experience working in a bustling startup or have a strong desire to do so. You 
have a passion for making data easier to use and a strong desire to be part of 
a team that is exploring uncharted territories in semantic web technology. 
Possessing an understanding of developing schemas and implementing ontologies, 
and a love for data and understanding of a positive user experience will make 
you a great candidate for this role.
 

Responsibilities:


Maintain data catalog


Assisting with data partnerships and projects


Responding to clients’ data related needs


Data modeling and organization


 

Required Experience:


Understanding of content management and data preservation


Developing knowledge organization systems like controlled vocabularies, 
metadata schema, and taxonomies.


Working with a variety of technical stakeholders, including customers


Comfortable with public speaking


Experience working in a collaborative workspace


Building SQL or SPARQL queries (Python/R experience a substitute)


Comfortable at the Command Line


Familiarity with Git/Github


Taxonomy Building


 

Preferred Experience:


Experience using Python/R for data analysis and cleanup


Familiarity with semantic editing tools and implementing semantic models using 
RDF, RDFS, OWL, SKOS


Familiarity with the open data movement


Technical writing


Familiarity with the data.world platform
 


Education
Master’s Degree in Library and Information Sciences (MLIS), Information 
Management, or related, OR a Certificate in Data Science, Data Engineering in 
addition to pertinent professional experience


 


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