(Senior) Data Scientist (m/w/d) in München

Stellenbeschreibung:

  • AWS Stack (Redshift, Athena, Glue, S3)

Embark on an Exciting Journey with a Travel Tech Trailblazer! Join one of the world's fastest-growing travel tech companies. Our diverse team of 500+ passionate professionals from 60+ nations is driven by cutting-edge technology and a relentless pursuit of excellence. Ready for takeoff?

Tasks

  • Drive machine learning strategy company-wide
  • Develop data science solutions for various business challenges
  • Create and optimize models for booking cancellations, churn predictions, and revenue optimization
  • Bring models to production, monitor performance, and iterate for improvement
  • Tackle challenges in rankings, recommendations, user segmentation, lifetime value, and business forecasts
  • Collaborate across departments to craft top-notch products for our customers
  • Utilize tech stack including:
    • Python, Sagemaker
    • AWS Stack (Redshift, Athena, Glue, S3)
    • Airflow, DBT, Looker, SQL, Git

Your Profile

  • 4+ years as a Data Scientist solving business challenges
  • Degree in Machine Learning, Computer Science, Mathematics, or related field
  • Proven leadership in impactful Data Science projects
  • Strong business acumen and stakeholder management skills
  • Passion for collaboration and building world-class products
  • Expertise in Python, AWS services, and machine learning tools

Benefits

  • Opportunity to impact millions of users monthly
  • Personal development budget and additional days for professional growth
  • Flexible work arrangements, including inter-office travel options
  • 28 vacation days plus 10 optional unpaid days
  • Up to 8 weeks working from any of the office locations
  • Inclusive, diverse work environment
  • Competitive salary of around 90k€

Ready to revolutionize the travel industry through data science? Join this dynamic team and help shape the future of travel technology.

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Stelleninformationen

  • Veröffentlichungsdatum:

    24 Aug 2026
  • Standort:

    München
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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