eDreams ODIGEO is one of the world’s largest online
travel companies and one of the largest European e-commerce businesses.
Under its four leading online travel agency brands – eDreams, GO
Voyages, Opodo, Travellink, and the metasearch engine Liligo – it offers
the best deals in regular flights, low-cost airlines, hotels, cruises,
car rental, dynamic packages, holiday packages and travel insurance to
make travel easier, more accessible, and better value for the more than
18 million customers it serves across 44 markets. eDreams ODIGEO is
listed in the Spanish Stock Market.
We are looking for a passionate, highly analytical Data Scientist to
join our talented team in sunny and vibrant Barcelona. In this role you
will have the opportunity to crunch massive datasets using the latest
Big Data technologies. You will be a key player in the organization by
designing and implementing advanced analytics and using machine learning
to build predictive models for different projects like online fraud
detection, recommendation engines, user experience personalization, etc.
Join us and help us reach our ambitious goal of becoming the global
leader in online travel!
Job responsibilities:
- Conduct predictive analytics to better understand how our customers
interact with our products and help us anticipate their needs;
- Collaborate with Product and Business teams in order to create predictive models and generate insights from our data;
- Coordinate, challenge and share the best analytical practices and methods within the organization;
- Stay up to date with latest developments in Machine Learning technologies and Data Science trends;
- Effectively communicate results and insights with other stakeholders throughout the organization.
Desired skills and experience:
- Degree in a quantitative field (Mathematics, Statistics, Computer Science, Engineering or other quantitative fields).
- 2+ years of related experience as a Data Scientist, Machine Learning engineer or similar.
- Previous experience in problem solving, strong analytical and technical skills.
- A solid understanding of appropriate statistical, data mining and machine learning methods for various analysis situations.
- Experience using programming languages like R, Python, Scala, Java, etc.
- Knowledge of SQL and experience working with large relational databases.
- Experience in Big Data technologies; such as NoSQL/graph databases and/or distributed computing would be a plus.
- Written and oral communication skills (in English).