Data Scientist; They​/She​/He Hybrid

Job Description

Posted 1 year ago

As you contemplate your future, you might be asking yourself, what’s the next step? Start your journey with us!

We’re seeking an experienced Data Scientist to join our Data Science Team in Barcelona. If you’re ready to soar, we’re ready to take you there. You will have the opportunity to either crunch massive datasets using the latest Big Data technologies or solve a quick problem with an already classic algorithm. We always promote using the best tool for each task.

You will be a key player in the organization by designing and implementing advanced analytics and using machine learning to build AI-powered solutions for almost every area in the business like online fraud detection, recommendation engines, user experience personalization, optimizing the flight combinations we offer or the marketing campaigns we launch, and virtually every possible area subject to optimization in the business.

Our dynamic team of young, talented professionals from over 60 different nationalities is driven by one clear mission: making travel easier, more accessible, and creating better value for our 18 million customers worldwide. Inside our Data Science team, we research and build cutting-edge solutions to offer more and better combinations of tailored travel plans than any other site. We have dozens of machine learning models in production doing hundreds of thousands of predictions that optimize our processes, improve the content for our customers and help us adapt to changes in the market.

The team is constantly analyzing the past to understand it, and predicting the future to guide business on making the decisions that drive the most value both for our customers and our business.

Join the world’s leading travel subscription platform and one of the largest e-commerce businesses in Europe.

Millions of customers every year across 44 markets – 5 brands – 7M members in Prime

More than 100 million searches per day – Up to 6 billion daily AI predictions

Over 1,600 employees – More than 60 different nationalities from all continents – 99% permanent contracts – 36 average age

We’re a leading travel tech company, revolutionising the travel booking experience through our consumer insight, innovative technology, market leadership, and Prime, the world’s first travel subscription program.

As an eDOer, you will have clear objectives, great challenges and a clear overview of how your work contributes to the global company project and its customers.

• 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 to embed Machine Learning into our apps, services and products and 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 the latest developments in Machine Learning technologies and Data Science trends.
• Effectively communicate results and insights with other stakeholders throughout the organization.

Job Requirements

• 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.
• You have a solid understanding of appropriate statistical, data mining and machine learning methods for various analysis situations.
• Strong experience coding in Python. Other programming languages like Scala, R, or Java are also valued.
• Experience using frameworks like Spark, Tensorflow and the already classic libraries like scikit-learn, pandas, etc.
• Solid knowledge and use of SQL is important. Experience in Big Data technologies such as distributed computing, No
  
  SQL/graph databases or architectures based on Kubernetes, Airflow or Kafka would be a plus.
• You are committed to following good practices and conventions, from code versioning to QA processes and monitorization.
• Written and oral communication skills (in…