Are you passionate about the endless potential of data and how this could be opened up to everyone? Than join us. We are ONTOFORCE, a Belgian company and global leader in the development of groundbreaking semantic search technologies. Our user-friendly search platform DISQOVER makes unique links between data sources, enabling everyone to be a data scientist.
We’re now looking for a talented and highly motivated Data Scientist to join our data team.
Our working environment
In the data team, we handle the semantic integration of data and the management of open, public as well as private data sources.
Because more data means more and better insights. And that’s what you, along with us, can make possible.
At ONTOFORCE, we adhere to an agile development environment, giving every co-worker a high degree of freedom, room for initiative and the possibility to take up responsibility.
The Data Scientist’s job description
As Data Scientist, you implement the ETL and semantic integration of new data sources in DISQOVER using semantic web technologies like RDF (Resource Description Framework). In other words, you extract, transform, load, link and map all types of public and private data.
You identify the best path forward to integrate structured and semi-structured data.
Your knowledge helps us to continuously optimize the ONTOFORCE integration ontology by developing new methodologies for knowledge extraction, data integration and mapping.
You collaborate closely with the software architects, other team members and customers to ensure up-to-date technical knowledge for yourself and the team.
You manage the automated data update pipeline.
The Data Scientist’s profile
A PhD or a Master's degree in computer science/informatics, engineering, bio-informatics (or similar)
At least 3 years of relevant experience
Experience with scripting (in e.g. Python)
Experience with Linux OS
Proficiency with distributed version control software (e.g. git)
Experience with data management and data integration
A definite plus would be knowledge of or experience with…
RDF, relational and graph based database technologies (SQL, SPARQL, etc.)
Machine learning and text mining technologies
Life sciences related data
Linked data and semantic web technologies
People we love to work with are…