We’re a fast growing startup that has already raised close to $8 million in investment from leading venture capital firms, and have been named by Bloomberg as one of the 50 most promising startups in the world to look out for. Our goal is to revolutionise the world of Location Intelligence and the way businesses think about, and act upon location intelligence data.
At Geoblink we use the latest technologies to find solutions to real world problems businesses face when trying to expand or increase efficiency. We leverage GIS technologies and Big Data to create a beautiful map-based user interface that not only provides lots of awesome statistics but also a great user experience.
We are proud of the environment of collaboration and diversity we have built and continue to foster, with plenty of opportunities to have a real impact on the business.
About Geoblink Tech
Our systems are built using an SOA approach that allows us to perform multiple deployments per day. We <3 monitoring, pull requests, iteration, continuous deployment and automated testing. The trunk of our stack is Python, Node.js, Vue.js, PostgreSQL and Spark but our architecture is language-agnostic. We move fast but put a lot of thought into the design of our architecture so that it’s simple and scalable. We write clean, modular code to produce great software that solves the needs of our clients.
Our Tech&Data culture is based on the high standards we try to achieve in everything we build and the personal development of our team. We foster an inclusive atmosphere of non-ego and respect where ideas are shared and feedback is used to promote quality and innovation. Some initiatives we have in place are Hackathons twice a year, bi-weekly Tech&Data talks, personal development budget for books, training and conferences and time for side projects every other Friday.
You can visit our Tech blog to learn more about the projects and technologies at Geoblink.
About the Analytics team
Geoblink’s app is focused on Location Intelligence, and Analytics team is mainly in charge of this “intelligence” part of it. Our goal is to use both internal data (coming directly from our customers for their own use) and external data (retrieved, cleaned and prepared internally at Geoblink from over 60 sources) and deliver analyses and insights allowing our customers to understand their current and past business situation (descriptive analytics), providing them with models and tools to be able to predict the impact and effects of potential business actions and decisions (predictive analytics) and, at a higher level, recommend them which of those actions and decisions should be taken to maximise their final revenue (prescriptive analytics). To do so we rely heavily on Python, and more precisely, on three different types of technology: data management and analysis tools, machine learning frameworks and software development oriented libraries.
Who we’re looking to recruit
We are looking for someone who is passionate about using data to deliver great analyses, insights and predictive models.
Here are some other things we’re looking for:
What you can expect from the job:
As a Data Scientist you will be part of the team responsible for making Geoblink’s app as intelligent as possible. You will design, develop, monitor and maintain a wide range of explanatory and predictive models. In addition, you will also participate in the integration of those models into the final app to allow our customers to better understand their current and future business. And, of course, you will be expected to follow modelling best practices to create solutions that are correct, accurate, scalable and performant.
Perks of the job
We have something called the “zero-policy” which means there are no restrictions on vacation days, office hours, working from home days, etc. We believe everyone here is a “mini-CEO”, and should have the flexibility and the opportunity to make their own decisions about their work schedule.
Other perks we offer: