Glovo (glovoapp.com) is looking
for world-class Data Scientist to work in our Barcelona office. You are
passionate, proactive, data-driven and hands-on? You want to evolve in
one of the fastest growing startups of Barcelona, building a product
that will change people's day-to-day and disrupt On-demand market?
Responsibilities
Develop,
test and productionize predictive algorithms by using state of the art
machine learning algorithms and statistical models
Evaluate
algorithms through controlled offline (e.g. cross validation with
holdouts strategy) and online experiments (e.g. cross validation, A/B
testing)
Lead one
or more of the following areas: time series analysis & forecasting,
A/B testing, customer analytics, personalisation & recommender
design as well as operational research & optimisation
Setting the vision for the aforementioned areas in alignment with business priorities
Lead the
data science part of a cross-functional team across disciplines such as
product, engineering, operations, marketing amongst others; identify use
cases for data science application
Mentor and manage a team of data scientists at multiple levels
Lead the recruitment and onboarding of data scientists
Disseminate outcomes through talks as well as papers and posters in conferences
Requirements
At least
5+ years research and development experience across industry or
academia. Holds at least an MSc, and preferably a PhD in a scientific
discipline such as Physics, Statistics, Computer Science or Mathematics
Deep
theoretical and applied knowledge in at-least one of the following
areas: supervised and unsupervised learning, deep learning,
reinforcement learning, game theory, statistical inference, bayesian
statistics, causal inference, time series analysis, decision theory,
mathematical optimisation
Significant experience at productionising ideas; from conception to deployment
Demonstrable experience in managing sizeable teams and where relevant, across multiple geographies
Ability to
juggle multiple strands of work and priorities to meet strict
deadlines on complex projects that may span across multiple teams and
have many dependencies
Ability to communicate and present complex ideas to very senior stakeholders and get buy-in
Ability to build an own relationships with key stakeholders across the business
Significant experience working with large data sets
Expert in Python and/or R
Significant experience with big data (e.g. Scala and Spark) and cloud technologies (AWS, Azure, Google Cloud)
Command line skills
Experience in a start-up and/or R&D environments
Strong presentation skills in communicating with experts and novices
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