Our client is developing a platform that helps teams speed up their application development using microservice architecture. They are leveraging modern technology to create the application development platform of the future. To join the team, they are looking for a Data Scientist that can help create reporting and data integration pipelines across multiple platform data sources. Please contact Kirsty for more info! 🙂

Responsibilities:
1. Analyse the data sources and merge them in one central warehouse
2. Automate reporting and help create a data pipeline from production data
3. Research use cases for the data warehouse services and propose further developments
4. Align with business objectives on what indicators should be reported on automatically
5. Setup template reports using business intelligence tools according to client needs
6. Develop additional widgets for the dashboard service and enhance its functionality

Requirements:
1. Bachelor degree in Statistics, Computer Science, or a relevant field
2. Good skill sin Python, Jupyter notebook, or using the Python data science libraries preferably in an operational environment
3. Solid understanding of REST APIs and API handling in general
4. Experience in data manipulation, Big Data processing, and data visualisation
5. Experience with relational and NoSQL data source aggregation and analysis
6. Solid understanding of fundamental statistical concepts and how to apply them in real world settings
7. Nice to have – experience writing and using machine learning algorithms and libraries

Benefits:
1. Be a part of a team that builds the development platform of the future
2. A clear career development plan
3. A friendly work environment where openness is valued and initiative is encouraged
4. Opportunities to contribute to open source projects
5. Constant increase of knowledge through conference visits and personal coaching
6. Sharpen your public speaking skills
7. Food and drink, regular team events, a sunny courtyard, and hardware to ensure optimal working conditions