(Senior) Data Scientist (m/w/d) in München
Primary stack
Job description
About the Position
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€
About the Company
Ready to revolutionize the travel industry through data science? Join this dynamic team and help shape the future of travel technology. Apply now to be part of an exciting journey in creating world-class products that impact millions of users globally!
Contact
Kerem Häger
+4915221484846
[email protected]
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