The goal of a data scientist at Yabba Data Doo is to develop models to analyse data for clients. Examples of such models are: predictive and prescriptive analytics, data mining/pattern recognition and anomaly detection.
Furthermore, you are expected to take the lead in the design of the data warehouse so that your models can run smooth and efficiently. Each project is tailor-made for the client and therefore flexibility and creativity are required of you. This entitles coming up with solutions to source data that is not immediately available from the client’s sources, i.e. from websites or other external data sources.
Additionally, you are engaged to take part in the setup of the data infrastructures (data warehouse and APIs) and help to build dashboards to visualise the result for clients.
Developing models to analyse the data for the client
Designing the data warehouse, together with a data engineer, to allow your models to run smooth and efficiently
Solving for missing data (sourcing from external data sources)
Integrating the models in the client’s IT environment (server or cloud).
University degree, ideally a master's level or higher, in a data science-related field
Good programming skills in Python and SQL
Autonomous yet collaborative approach to work
Comfortable working in a fast-paced start-up environment
Relevant work experience in data science
Good prioritising and time management skills
Experience with Machine Learning and AI
Experience with data visualisation and data engineering
* not applicable for internships. Unsure about the requirements? Send an email below and we are happy to discuss.
Send an email to Marc (our technical director) at firstname.lastname@example.org
and attach your resume and motivation (only PDF).
He will get back to you as soon as possible.
What we offer
At Yabba Data Doo we care as much about our employees as we care about the planet. We highly value the personal development of our people and offer coaching and guidance where needed. Joining Yabba Data Doo is like joining a team. On top of that we offer a competitive salary and flexibility in holidays and working hours.