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Global Data Scientist Specialist

Avolta -
Madrid, Madrid provincia

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Detalles del empleo

Cualificaciones

Power BI
Big data
Estructura de datos
Inglés
SQL
Machine learning
Agile
Cloud
Python

Descripción completa del empleo

Global Data Scientist Specialist

Brand: Avolta

Country: ES

Location: Madrid Office

Job Type: Indefinite

At Avolta (SIX: AVOL), our people are at the driving force behind our success. With a team of over 76,000 individuals representing more than 150 nationalities, we are a truly global company driven by passion, innovation, and excellence. 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. Guided by their Destination 2027 strategy and boosted by their recent combination with travel F&B giant Autogrill, the company is well positioned to realize their ambition to create a Travel Experience Revolution through their many locations at airports, motorways, cruise lines, seaports and railway stations amongst others.

PURPOSE OF THE ROLE

The Global Data Scientist Specialist will leverage advanced analytics and data science to unlock insights that drive strategic decisions and operational excellence across Avolta’s global IT landscape. This role is pivotal in transforming complex data into actionable intelligence, enabling innovation and supporting the company’s vision of revolutionizing the travel experience. This role will be based in Madrid with hybrid flexibility.

RESPONSIBILITIES

Identifies emerging analytic trends, data needs, and innovative solutions to address business challenges
Collaborates with the Analytics Business Analysts and key stakeholders to generate hypotheses and develop models that answer impactful business questions
Design and implement statistical models to extract meaningful insights from large datasets
Parses, cleanses, and manipulates structured and unstructured data for analysis
Conduct quality assurance testing to ensure accuracy and reliability of models
Works with data sourcing teams to develop, test, implement, and maintain analytic models, including attribute identification, exploratory data analysis, and data transformation
Partners with business teams to review data sources, resolve inconsistencies, and validate business logic for data discovery initiatives
Performs advanced text, quantitative, statistical, financial, and operational analyses.
Designs, builds, and scales end-to-end ML pipelines, enabling efficient data processing, model training, deployment, and monitoring in production environments

WHAT WE ARE LOOKING FOR

Experience: Proven track record in data modeling using leading analytics tools and relational data structures
Technical Skills: Strong programming skills in Python, PySpark and SQL, with solid understanding of databases, data modeling, and data structures
Machine Learning Expertise: Strong foundation in machine learning techniques, including model selection, performance evaluation, and validation; experience with model explainability, interpretability, and auditability to ensure transparency and reliability in production environments
Big Data & Cloud: Hands-on experience with modern cloud-based data platforms, such as Databricks and familiarity with scalable data architecture
Collaboration: Ability to work cross-functionally with IT, business analysts, and data teams
Communication Skills: Strong communication and storytelling abilities, with a clear focus on translating complex analytical concepts into actionable insights for non-technical stakeholders and business users
Languages: Fluent English (spoken and written)
Personal Competences: Team worker, able to lead and support others, and contribute to growth within a collaborative and agile team environment
Data Product Mindset: Experience delivering end-to-end data products, from data ingestion and modeling to deployment and business adoption
Visualization Skills: Experience with data visualization tools, especially Power BI, to effectively communicate insights and support decision-making

Due to certain email system settings, some of our messages may occasionally land in your junk or spam folder. To ensure you don’t miss any important updates regarding your application, please check these folders regularly and mark our emails as ‘Not Spam’ if needed.

We look forward to connecting with you soon!

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