обновлено 6 дней назад
Loyalty Data Scientist (Machine Learning)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Loyalty Data Scientist (Machine Learning): Developing and deploying machine learning models for personalization, customer segmentation, churn prediction, recommendations, and customer lifetime value with an accent on Traveler360 data and loyalty activation. Focus on building production-grade data science solutions, embedding AI-driven decisioning into CRM and digital journeys, and optimizing engagement, retention, conversion, and ROI.
Location: Madrid Office; the role can also be based in Milan, Italy
Company
operates travel retail and food and beverage experiences across airports, motorways, cruise ships, ports, railways, and other travel channels in more than 70 countries.
What you will do
- Develop and deploy machine learning models for personalization, customer segmentation, churn prediction, recommendations, and customer lifetime value modeling.
- Build scalable analytics and AI assets for loyalty, CRM, digital, and commercial use cases.
- Translate analytical insights into CRM campaigns, lifecycle journeys, and digital personalization strategies.
- Lead experimentation, including A/B testing, to improve engagement, retention, conversion, and ROI.
- Own the full data science lifecycle from problem definition and feature engineering through deployment and business activation.
- Partner with Loyalty, CRM, Digital, Commercial, Data Engineering, and Platform teams to embed predictive insights and production-grade machine learning solutions.
Requirements
- 6–10 years of experience in data science, machine learning, or advanced analytics.
- Proven experience delivering and scaling machine learning solutions in production environments.
- Experience in customer analytics, loyalty, CRM, digital personalization, or related consumer-focused industries.
- Strong knowledge of predictive modeling, clustering, recommendation engines, and customer analytics.
- Advanced proficiency in Python and SQL.
- Experience with modern data platforms such as Snowflake, Databricks, or similar cloud environments.
Nice to have
- Familiarity with experimentation frameworks, including A/B testing.
Culture & Benefits
- Work in a global organization with more than 76,000 employees representing over 150 nationalities.
- Collaborate across Loyalty, CRM, Digital, Commercial, Data, and Platform teams.
- Contribute to innovation, sustainability, and social responsibility initiatives.
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