Holidu

Senior Data Scientist - Rankings & Recommendations (all genders)

Stellenbeschreibung:

Overview

In this role you will shape Holidu’s ranking and recommendation systems used by millions of guests. You’ll work end-to-end, from identifying opportunities to shipping production models and measuring impact, collaborating with cross-functional teams to improve search relevance, conversion, and business value. You will push ML innovations, strengthen MLOps, and mentor projects, contributing to a fast-paced, data-driven travel platform. This is a chance to influence product experiences at scale and advance AI-enabled decision making.

Leistungen / Benefits
  • travel benefits
  • gym discounts
  • personal learning budgets
  • mentorship
  • hybrid work setup
  • regular events and meet-ups
Verantwortungsbereiche
  • Develop high-impact ranking, recommendation, and personalization models
  • Take models from conception to production and monitor their performance
  • Design and run A/B tests to evaluate ranking improvements
  • Collaborate with Product Managers and Software Engineers to prioritize and ship improvements
  • Ensure production reliability via online/offline agreement, data drift KPIs, latency, and monitoring
  • Advance MLOps practices with CI/CD pipelines, retraining workflows, and lineage tracking
  • Provide technical leadership by guiding project scoping and prioritization
Zentrale Anforderungen
  • 5+ years of experience as a Data Scientist
  • Experience on ranking models or recommender systems (strong advantage)
  • Degree in Machine Learning, Computer Science, Mathematics, Physics, or related field
  • Strong foundations in statistics, predictive modeling, and ML techniques
  • Proficiency in Python and SQL
  • Experience with Airflow and dbt (nice to have)
  • Understanding of business operations and translating insights into outcomes
  • Collaborative mindset and ability to work across teams
  • AI proficiency: integrating AI tools into workflow and mentoring others
  • collaborative mindset
  • data-driven decision making
  • leadership in data science projects
  • Python
  • SQL
  • Airflow
NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    14 Sep 2026
  • Standort:

    München

    Einsatzort:

    Hamburg
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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