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:
Work in “One of the 50 most promising startups in the world” By Bloomberg
Flexible work hours in a focused but casual environment
Learning from and working with some of the best
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!
