At CHAOS we provide a better understanding of cities’ complexity in an easy and lean way. Our AI-powered urban forecasts enable fact-based decision-making for real estate investment and city development, which leads to the creation of more sustainable cities around the world. By integrating urban data with the data that people produce in their living environment, we produce indexes that allow to measure the performance of cities today and simulate future scenarios.
We aim to enhance the liveability of cities as we help our customers minimize the risk of investments and increase their operational efficiency and measurability.
This requires an extraordinary team capable of delivering a sturdy data architecture, clean software, and elegant user interfaces. So far, the tech part of the team is composed by a Technical lead (back-end), a Data Scientist, a Machine Learning developer, a Front-end developer and a UX/UI designer.
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About you:
We are looking for personalities that:
Have a passion for building digital tools that have a real-world impact.
Have in-depth knowledge of Agile process and principles.
Have excellent organizational and time management skills.
Quickly adapt and develop new talent, and are willing to step outside their comfort zone to do so.
Have efficient communication skills and are team players with the confidence to take the lead and guide others.
Are able to overcome obstacles and provide options (problem solving & resilient attitude).
Are attentive to details.
Are strategic thinkers with a vision and want to grow into leaders.
Take the initiative thought leadership, innovation and creativity.
Own the development methodology.
With Data Engineering skills, who is able to:
Manage the Cloud data storage (maintain databases).
Ensure data architecture will support the requirements of the business (design scalable processes)
Discover opportunities for data acquisition (data hunting and budgeting)
Design and implement data acquisition and updating processes
Design and implement ETL for heterogeneous data and other data pipelines
Develop data set processes for data modelling, mining and production.
Recommend ways to improve data reliability, efficiency and quality.
Make code ready for a production environment.
For which, the desired technical skills are:
Python
SQL databases
Google Cloud services (BigQuery data warehouse) or equivalent
Familiarity of basics of Machine learning and ML modules of python like Scikit-learn is a plus
Practicalities:
This position starts with a 2-3 months internship on February - March 2020 and may continue with a permanent contract based on internship performance (KPIs).
This position contemplates a growth projection in salary and responsibilities with time. Possible growth into Architecture Engineer or Data Scientist.
Please communicate your salary expectations for this role in your application.
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About us:
We are working in an Artificial Intelligence platform for the Smart City.
We are the only smart city expert that combines data with human intelligence in one single platform.
We are a B-2-B-2-C company. This is, we address regular citizens as part of our work with real estate investors and urban developers (our customers).
We work with business trends like big data, artificial intelligence and business intelligence.
We are passionate about people and cities.
We are firm believers that this world should be a better place for everyone.
You will grow into our family.
Some sweet stuff at CHAOS:
Horizontal organization
We support a work-life balance (parents and pet owners welcome).
Occupational healthcare
International environment (8 different nationalities!)
Equity / options
Brainstorming coffee (or tea) sessions
Working in the trendiest startup hub: Maria01 (in the city centre).
This job comes with several perks and benefits
Get your caffeine fix to get you started and keep you going.
Easy access and treehugger friendly workplace.
Social gatherings and games; hang out with your colleagues.
Peckish after lunch? We got your back with soft drinks, treats and fruit.
Friday is something special, let's enjoy a beer together.
Kids are the future, go spend time with them.