This job involves developing a library of analytic functions that can be applied in parallel to large scale knowledge graphs. It requires skills in software engineering, knowledge modelling, data-analysis and real-world problem solving. It is best suited to a candidate who has experience in developing, deploying and maintaining large scale internet data driven systems and can readily map between real world business problems and efficient and effective mathematical and engineering solutions.
This is a full time role that will involve working with the DataChemist CTO and CEO to develop and refine analytic functions that can be automatically applied to analysing data within knowledge graphs as well as extracting models from that data. These analytic functions will range from simple linear regression and clustering models to complex machine learning models and will be constructed to take advantage of our highly parallel, highly compressed, in-memory database architecture. This is a challenging role suitable for a technologist who would like to make a mark on the history of computer science as part of a team brimming with mathematical and computer science expertise.
DataChemist is a fast-growing venture-backed startup developing an enterprise knowledge graph database with unique capabilities. The successful candidate will be part of our core-engineering team. This is an opportunity to get in on the ground floor and become part of a highly talented engineering team on a fast-growth venture-funded track with competitive salary, excellent stock-options package and a full range of benefits.
Useful Skills & Experience
- Python & associated statistical packages
- Machine Learning & AI
- Data modelling (SQL, OWL)
- Communication and Collaboration Skills
- Query languages (SQL, CIPHER, SPARQL)
Apply online by filling out the form below.
DataChemist - Dublin, Ireland