Skyscanner
is a leading global travel search site and app, a place where people are
inspired to plan and book direct from millions of travel options at the
best prices. We employ over 800 staff across ten offices globally, and,
having reached market leader status, we were recently acquired
by Chinese online travel company Ctrip in a deal valued at £1.4bn.
While we remain operationally independent, our acquisition by Ctrip
allows us to take the business to the next level of accelerated global
growth. It’s a hugely exciting time for Skyscanner and the over 60m
people who use us every month. We are unbiased and free, and our secret
is in our unique proprietary technology that connects people directly to
everything the travel industry has to offer.
We are seeking a Data Scientist to join us in our Barcelona office
and be part of our highly distributed global team. Your experience as a
data scientist will allow Skyscanner to reach new travellers and drive
product innovations to improve the travel experience of millions.
Data is the life-blood of Skyscanner. Data Scientists are our
resident experts in applying scientific thinking, engineering, applied
statistics & mathematics and experimental design. They lead and
actively support our ability to execute an efficient Lean Startup cycle –
Learn; Build; Measure. Our team is focused on applying the scientific
method across two broad categories of problems within Skyscanner:
- Leveraging our vast wealth of data to build more contextual,
relevant products for travelers and travel suppliers (our partners).
- Ensuring we have the right data; insights and information to make
the most impactful, scientific decisions in every aspect of our
operations.
Are you an inspirational Data Scientist – translating business
problems into quantitative solutions? Do you go beyond understanding the
“what” happened to identify “why”.
Skyscanner operates in a Tribes and Squads model
and we have created an engineering culture where there is a high level
of trust, autonomy and transparency. As well as our data science team,
you will work closely with all areas of the business, helping define the
roadmap and deliver new features to the market. On top of all of that,
you’ll have a hands on role in the planning, execution and successful
delivery of state of the art solutions.
What you can expect as a data scientist
- A supportive, trusting and transparent working environment
- A place to look at things differently and challenge and offer solutions
- Ownership of identifying where data science can have a wider impact on our team
- You will apply multiple techniques and data modelling to solve highly complex problems
- An opportunity to influence the people around you
What we are looking for
- Previous job experience as a data scientist ideally within an
internet economy business or fast paced tech environment featuring high
volumes of complex and occasionally imperfect data
- Experience developing, deploying, testing and continually improving
data science solutions included tools, services and automated solutions
- Proven expertise in statistics - quantitative data analysis including statistical tests, predictive analysis, distributions
- Clearly communicating insights and complex information to technical
and non-technical decision makers in a readily understood form
- User first - you are motivated by delivering continual improvements to travelers, partners and internal customers
Why Us?
We are proud to have a working environment that sets our employees up for success, as well as all the usual perks you would expect
from barista machines to massage chairs, to free food, holiday buying
scheme as well as frequent townhalls with our CEO. What we really aim
for is a place where people can thrive, be trusted to make impact and
ultimately help us put our users first.
What you will get in Barcelona -
Situated in the Placa Catalunya in Barcelona’s bustling centre, known
for its many fountains and statues and nearby some of Barcelona’s most
popular attractions. Our acquisition of hotel search company Fogg saw
the birth of Skyscanner hotels product and is a hub of product
engineering activity. With space to hire many more staff we are excited
to welcome our new recruits.
Skyscanner can offer you large scale, complex problems where you can
reach 60 million users whilst enjoying a high level of autonomy and
influence and a flexible working environment where you can thrive.
Join us now.