Senior Data Scientist

Location: Based in Madrid
Position: Full time

Geoblink is looking for a Senior Data Scientist passionate about finding, modelling and processing data to solve real world problems. Data is at the core of Geoblink’s DNA, and part of every single challenge we face when building new functionalities. You would be one of the main points of reference to, given a product requirement, figure out how to obtain the data that will make it possible, and transform it so that it can be consumed by the back end systems that fuel our multi-country solution. You would explote all the potencial from the data, assert the correct interpretations of the analysis and influence the product  department on the value of different datasets and models.

Geoblink

Geoblink is a VC-backed tech startup that revolutionizes the way businesses think about – and act upon – location intelligence. We’re on a path towards hyper growth. We’re looking for world-class talent to fuel our ambitious international expansion plans. Someone who can help us “figure things out” and do them at the same time. We can offer a unique opportunity to be part of an amazing team. We’re a smart, fun, and hard-working bunch, and we’re super proud to have attracted top-notch talent from places like McKinsey, Chicago Booth, Harvard, CERN, EA Games, and so on.

At Geoblink we use some of the latest technologies to find solutions to some very hard problems. We leverage Big Data to create a beautiful map-based user interface that provides a rich user experience. We have fun solving interesting challenges! Our systems are built using an SOA approach that allows us to perform multiple deployments per day. We <3 monitoring, pull requests, continuous deployment and automated testing. The trunk of our stack is PostgreSQL, Node.js and Angular, 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, flexible code to produce great software that solves the needs of our clients.

Requirements:

  • Degree in one or more areas relevant to data analysis, Statistics, or Computer Science.
  • 3 or more years of experience in data analysis.
  • 3 or more years of programming/scripting experience.
  • Solid grounding in applied mathematics and statistics including expertise in a broad range of techniques, such as: Bayesian modeling, logistic regression, multivariate regression, machine learning, cluster analysis, decision trees, spatial analysis, forecasting, hypothesis testing, Markov chains, and data visualization.
  • Relevant Python experience would be a plus.
  • Experience in relational/non relational databases. PostgreSQL would be a plus.
  • Experience working with Big Data technologies (Hadoop, Spark, etc) would be a plus.
  • Experience working with geolocated data/spatial analysis would be a plus.
  • Ability to work in an English environment.

You are:

  • A curious person, love learning and learn quickly.
  • Don’t mind working in a very busy startup because you are learning a ton of things, are having fun while working with smart people in an non-ego environment and are building something that has a big impact.
  • Constantly reading about new trends to see what’s going on out there and how you can incorporate new technologies into your current project when there are good reasons for it.
  • Energetic, positive, proactive and collaborative
  • Passionate about what you do, you care deeply about the things you build.
  • Creative and used to think out-of-the-box.
  • A story-teller: you love your data so you love talking about it to layman people from other departments.

You will:

  • Lead a team of data scientists in a challenging and fast-evolving environment.
  • Coordinate strategy between the Head of Product and the Data Science team.
  • Contribute with fresh and innovative solutions to new problems.
  • Create statistical models to make predicions based on spatial data, which will help retailers to make smart decisions.
  • Own the workflow of different data sources from its raw entrance in our systems into the final KPI calculations.

Why Geoblink:

  • Flexible work hours in a focused but casual environment
  • Learning from and working with some of the best
  • Great team atmosphere
  • Vibrant, fun, and international environment.
  • Many perks, like team event and sports activities.

If you feel identified with this kind of working and you are willing to face the challenges we propose, THIS IS YOUR TEAM! 

Apply now

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