About Geoblink

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:

• Previous experience in a Data Scientist role and a Maths, Computer Science or related degree.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, SVM, Decision Trees, Random Forests, XGBoost, etc.
• Hands-on experience working on the whole life cycle of predictive models development (data cleansing/preparation, feature selection, feature engineering, outlier detection, model selection, optimisation, evaluation and final deployment).
• You are rigorous when it comes to the mathematical part of your job but fully understand that your analyses and models, at the very end, serve to a final business goal.
• Proficiency using Python and SQL to manipulate data and draw insights from small, medium and large data sets. Extra kudos if you have also knowledge of Apache Spark.
• You craft elegant, structured and tested code and are used to working with code repositories as part of a team.
• Excellent written and verbal communication skills, you are able to explain complex analysis to non-technical business-driven people
• You constantly read about new trends to see how you can incorporate new technologies and techniques when there are good reasons for it.

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.

• Work with stakeholders throughout our customers and even inside Geoblink to identify opportunities for leveraging both external and internal data to drive business solutions.
• Participate in the design and implementation of new features allowing to evolve Geoblink’s app from descriptive to predictive and, finally, to prescriptive.
• Work closely with the rest of the team including Product Owners, Data Scientists and Software Engineers to understand everyone needs and develop optimal solutions.
• Coach and mentor other team members to create a culture that fosters collaboration and personal growth.
• Actively collaborate in the different initiatives the company works on regarding brand awareness (e.g. blog, meetups, talks, etc.)

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:

• Flexible work schedule and ability to work from home
• Stock options package after the first year
• Attractive compensation package
• Personal annual budget to spend on training and conferences, anything that will help you get to the next level
• Great central office located in the heart of Chamberi area of Madrid, close to great food, fun and linea 2
• Unlimited coffee, tea, coke to keep you going
• Chillout space with ping-pong, table football, draft beer, etc
• Lots of space for you to work in peace and produce your best work
• Opportunity to work side by side with smart and humble peers
• Great career progression
• And much much more!