Data Scientist

Job Title: Data Scientist
Business Unit: Marketing Services
Location: Barcelona

Job Description

Do you enjoy hacking data and algorithms? Do you have fun playing with the terminal, Linux, Amazon Web Services, Docker, Spark and the latest machine learning technology? We are looking for a talented Data Scientist to join our exciting and dynamic Data Science team in Barcelona.

At DerbySoft, we leverage the huge amount of data of 95+ top travel brands to generate hundreds of millions/year of hotel revenue on Google, TripAdvisor, Trivago and other large Internet platforms. As a Data Scientist, you will be challenged to design, build and deploy advanced models to solve complex bidding optimization, prediction and clustering problems.

Key Responsibilities

● Design practical solutions using the latest Machine Learning and statistical techniques
● Implement backend algorithms that handle millions of requests daily in platforms such as Google, TripAdvisor and Trivago
● Evaluate models using objective performance measures and compare and test these models
● Define and set up business problems
● Effectively communicate findings

Desired Skills and Experience

● Experience in Machine Learning, prediction and time series analysis
● Strong background in statistical analysis and modeling
● Solid programming skills in R or Python and SQL
● Good knowledge of databases
● Outstanding analytical and learning abilities
● Ability to work effectively in both independent and team environments
● Good oral and written English communication skills

Other Skills

● Master or PhD in data science, computer science, engineering, statistics or other related fields
● Software engineering skills
● Experience with Amazon Web Services
● Familiarity with massive dataset tools (Hadoop/Hive etc)
● Experience with data logging tools
● Work with Docker containers
● Knowledge of Linux systems and command-line utilities
● Digital Media Advertising experience is another plus

About DerbySoft

DerbySoft is a global technology company serving the world’s top travel brands since 2002. The company continues to develop the next generation of online hotel distribution infrastructure: a fair, effective, and enterprise-independent global distribution network that enables travel suppliers, distributors, and media partners to connect with each other while maintaining their own business models, connectivity preferences, and data logic.

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