Publisert: 27.09.19

Are you passionate about data science and want to shape the future of urban mobility?

Join the Data Science team at Urban Sharing.

You will join our Data Science team as a full-time Data Scientist to help strengthen our analytics and machine learning capabilities. The Data Science 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:

• Creating real-time demand forecast using machine learning-algorithms
• Improving our understanding of urban mobility through data analysis and map visualizations
• Developing algorithms to optimize fleet management and on-street operations
• Improving maintenance and inventory management through predictive analysis
• Developing new, targeted products and services based on analysis of customer behavior
• Creating systems to monitor and evaluate operations and system performance
• Making reports and dashboards that answer internal needs

We run our technical stack on Google Cloud, and you will work with Google’s cutting-edge technology like BigQuery, Cloud Composer, DataFlow and AI Platform 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 October 20th, with a starting date in January 2020 or August 2020. We think professionals with some experience or recent graduates will be most suitable for the position.

We’re looking for someone that

• hold a degree in a data science related field
• are familiar with SQL, Python and/or R
• are fluent in both Norwegian and English
• have experience with developing machine learning models and/or optimization models that solve real-world problems
• can tackle a fast-paced work environment and work independently with analytical tasks
• are genuinely interested in understanding and improving urban mobility

We can offer you

• a young, fast-growing Norwegian tech company
• a flexible workplace with a high level of responsibility for your own tasks
• a modern office, located in downtown Oslo (Parkveien 29)
• the opportunity to solve real problems in a visible and tangible way
• the chance to contribute to sustainable change in cities and make a positive change in people’s lives

For questions regarding the position or the company, please contact Hans Martin Espegren ([email protected]) Data Science team lead

---

Om Urban Sharing

Profil

Urban Sharing (www.urbansharing.com) is the Norwegian technology startup behind a multi-vehicle platform which powers shared micromobility systems, including one of the world’s most efficient bike sharing schemes, Oslo City Bike. 

Urban Sharing believes that a multi-modal approach to transportation, where micromobility plays a vital role, is key to navigating this new urban reality. Our software uses machine learning to analyse user-data to optimize the usage of every fleet incorporating its technology. It enables our customers to meet the demands of their users in real time. 

Both real-time and historical data from all of Urban Sharing’s micromobility platforms is shared directly with our partners. We use this data to help our customers develop a robust, concise, and efficient operations strategy, which enables them to reduce costs, increase revenue, and better serve their users.

Powered by Froala Editor