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
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
