Data Scientist
Department
Data Science
Location - Workplace type
Madrid
Employment type
Permanent
Who do you want to become?
Are you our Future Leader? Are you ready to realize your potential? Are you searching for a real purpose, not “just another job”?
At the Sani/Ikos Group we take hospitality very seriously. As we expand with new Resort openings almost annually, our core purpose remains the same; encouraging guests to experience the Μagic of togetherness as the World’s Leading Family & Beach ResortTM.
Whether you’re looking for a strong career path in the hospitality industry, to learn new skills that will set you apart from the competition or to develop meaningful relationships and grow personally and professionally, our safe, strong, and sustainable environment might just be the perfect place for you.
Your main purpose
Lead the preparation and transformation of data for advanced modeling.
Design, develop, and optimize new machine learning models for business applications.
Drive the development and deployment of GenAI solutions across multiple use cases.
Perform complex data analysis to identify trends and generate actionable insights.
Apply your work to Chatbots (text and voice), Marketing Mix Modeling, and sales forecasting.
Use NLU and GenAI to improve guest experience through automation and intelligent services.
What will you bring?
3–5 years of professional experience in Data Science, Machine Learning, or related areas.
Solid knowledge of at least one of the following: Python, SQL, Pandas, NumPy, Scikit-learn.
Proven experience with at least one of the following: TensorFlow, PyTorch, ML algorithms.
Familiarity with visualization and BI tools (e.g., Matplotlib, Seaborn, Power BI).
Exposure to cloud platforms (Azure, AWS, Google Cloud) and MLOps tools (Git, Docker, Airflow, Spark).
Professional proficiency in English (minimum B2 level) and strong communication skills.
What we offer
Team
Becoming a member of an organization that cares about its people, the environment, and the local communities.
Grow
Have room to grow and develop via numerous opportunities for learning, professional development, and career advancement.
Care
Competitive remuneration package
Private health insurance
Flexible working model