General Data Scientist Specialist: Transforming complex data into actionable insights that support decision-making across the organization with an accent on advanced analytics, data science, and technical development to build scalable analytical solutions. Focus on designing statistical models, developing data products, and ensuring analytical outputs are accurate.

Location: Madrid Office

Company
Avolta is the world’s leading travel experience player with a traveler-centric philosophy and a geographically diverse network, the travel retail and F&B; company addresses the needs of up to 2.3 billion passengers each year, with 5,500 outlets in more than 75 countries across six continents.

What you will do

Generate hypotheses and create analytic models to answer impactful business questions.

Collaborate in and identifying new analytic trends, data needs, and analytic solutions.

Design appropriate statistical models to extract relevant insights from datasets.

Cleanse and manipulate large amounts of structured and unstructured data for analysis.





Perform quality assurance testing to ensure that analytical models deliver accurate and reliable insights.

Collaborate with business stakeholders to review data sources, resolve data inconsistencies, and validate business logic during data discovery.

Requirements

Experience modeling data using leading analytical tools and relational data structures.

Programming experience in SQL, Python, Java, and R.

Statistical modeling and machine learning expertise across different domains.

In‑depth knowledge of the Big Data landscape and analytical technology trends.

Culture & Benefits

Global company with a team of over 76,000 individuals representing more than 150 nationalities.

Driven by passion, innovation, and excellence.

Well positioned to realise their ambition to create a Travel Experience Revolution through their many locations at airports, motorways, cruise lines, seaports and railway stations amongst others.

📌 Global Data Scientist Specialist (Madrid)
🏢 Talanto
📍 Madrid