Are you interested in working with data and want to have access to a huge number of data?  Then, this role is the right one for you.  Join this team and make the experience of energy users much more enjoyable. 

What will you do:

• Design and develop AI-based solutions from pilot to commercially viable reality
• Take on technical owner role for a high impact data and analytics-driven venture
• Prioritize, plan for and implement new features and models
• Evaluate different techniques, tools, and approaches to a variety of machine learning problems
• Train, validate, and test machine learning models in order to achieve a best-in-class performance at scale
• Drive the deployment of productive solutions together with product development, data engineers, and data architects
• Communicate and discuss complex analytical and technical concepts to a business audience.

The requirements for the role are:

• 3 to 5 years working experience as a data scientist;
• Deep knowledge of Python with Pandas;
• Very good knowledge of Docker;
• Very good knowledge of SQL, Postgres, and PostGIS;
• Good knowledge of Azure especially App Services (at least AWS);
• Tech stack: Python, SQL, Spark, (AWS OR Azure is a plus);
• Good knowledge of OpenStreetMap.