Urban Sharing is a Norwegian technology startup. In 2016 we launched a new kind of bike sharing in Oslo which more than doubled usage from the previous system. In 2018 we're launching a series of new products in new cities.
Behind the scenes, we've integrated our system with local public transport, and run a full real-time analytics platform to facilitate smarter operations. We believe the success of «smart city» solutions like ours should not be measured by a mobility system's mere existence, but on the actual effect it has on the city.
About the position
As a full-time employee, you will join our Data & Analytics team as a Data Analyst/Scientist to help strengthen our analytics and machine learning capabilities. The Data & Analytics team holds a key role in our company by developing tools, algorithms and models to support both strategic and operational decisions. The team further assists all parts of our company with analyses to help us become more data-driven. We believe the future of urban mobility is shaped by those who understand how to utilize data.
You will be part of a small team that solves a great variety of analytical tasks. As a growing company, our priorities change frequently, so you must be able to quickly adapt to new tasks and be willing to continuously develop your professional skills. Examples of projects you will be working on include:
We run our technical stack on Google Cloud, and you will work with Google’s cutting-edge technology like BigQuery, DataPrep, DataFlow and ML-Engine to process and understand data. It is not a requirement that you have a lot of experience with these products, but you must be willing and ready to learn.
The deadline for applying is September 1st, with a starting date as soon as possible. Both experienced professionals and recent graduates are encouraged to apply.
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For questions regarding the position or the company, please contact Hans Martin Espegren (email@example.com) Data Scientist, or Siv Monika Lilleng (firstname.lastname@example.org) HR director