Unique opportunity to join a leading global provider of travel services
 Location: Palma de Mallorca, Islas Baleares (Spain)
 Sector: Hotelbeds Group
 Function: Commercial Strategy
 Contract terms: Permanent
 Main Responsibilities:
 - Select/create algorithms and software needed to perform analyses
 - Extract insights from structured and unstructured data using advanced statistical methods
 - Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes
 - Perform statistical and modeling deep-dives to identify problems, opportunities and actions required, including developing prototypes and automation to leverage the insights
 - Generate predictive models to forecast the evoluion of the business based on past performance trends (generation, cancellation and modifications of bookings), seasonality effects and special events leveraging advanced analytical tools: regression techniques and machine learning techniques.
 - Present data visualizations and results in jargon-free language that diverse stakeholders will understand
 - Provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire breadth of our organization 
 Candidate Profile:
 - Masters Degree or PhD in Mathematics, Statistics, Computer Science or related field
 - Solid foundation in computer science and applications, modeling, statistics, analytics and math
 - 2 years minimum of prior experience in a data science role
 - Real world experience with statistical modeling concepts including experimental design, machine-learning approaches, clustering and classification techniques, and recommendation algorithms
 - Experience applying big data analysis to business goals or experience in B2B consulting preferred
 - Proficiency in analysis packages and statistical programming languages (e.g. R, Python, etc…)
 - Comfort creating intuitive data visualizations utilizing relevant software (e.g. Tableau)
 - Proficiency in SQL and working with relational databases.
 - Strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge 
 Contact:
 Irene Arrojo
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