Senior Data Scientist (all genders)
Munich, Germany
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Holidu is one of the world’s fastest-growing vacation rental technology companies. Our mission is to make booking and hosting holiday homes free of doubt and full of joy, by helping hosts generate more bookings with less work and helping guests find a holiday home they truly enjoy. Our team of 700 colleagues from 60+ nations shares a passion for tech, an ambition for constant improvement, and a relentless drive to bring the best experience to more than 40k vacation rental hosts and 4 million annual guests.
Your future team
You will be part of the Business Intelligence department, which consists of the Data Science, Data Analytics, and Data Engineering teams. The Data Science team, composed of other experienced and passionate data scientists, is responsible for everything related to data science and machine learning.
You will be working on various topics such as rankings, recommendations, user segmentation, user lifetime value, business forecasts, etc. You will have access to our huge dataset and work in collaboration with stakeholders from various departments. Your objective is to build the best internal and external products for our customers. Holidu highly values a diverse and open environment with people from all over the world.
This role is based in Munich with a hybrid setup.
You will be working on various topics such as rankings, recommendations, user segmentation, user lifetime value, business forecasts, etc. You will have access to our huge dataset and work in collaboration with stakeholders from various departments. Your objective is to build the best internal and external products for our customers. Holidu highly values a diverse and open environment with people from all over the world.
This role is based in Munich with a hybrid setup.
Our Tech Stack
- Flexible data science environment (Python, Sagemaker)
- Database: AWS Stack (Redshift, Athena, Glue, S3).
- Data Pipelines: Airflow, DBT.
- Data Visualization: Looker.
- Data Analytics: SQL, Python.
- Collaboration: Git.
Your role in this journey
You will play a pivotal role in the Business Intelligence team alongside data scientists, analysts, and engineers. Together, you will lead the development and enhancement of our company-wide machine learning strategy.
- Collaborate across various business departments to identify opportunities and solve critical business challenges using data science solutions.
- Build and optimize predictive models such as booking cancellation forecasts, churn predictions, pricing optimization, revenue forecasting and marketing channel allocation.
- Take models from conception to production, continuously monitor their performance, and iterate to enhance accuracy and efficiency.
- Interface with diverse business stakeholders, ensuring alignment between data science initiatives and company goals.
- Demonstrate leadership in data science projects, leveraging your expertise to drive measurable business impact.
Your backpack is filled with
- 4+ years of experience as a Data Scientist, with a proven track record of applying data science methodologies to solve complex business problems.
- A degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field.
- Expertise in statistics, predictive analytics, machine learning techniques, and proficiency in tools like Python and SQL.
- Experience with Airflow and dbt is a plus.
- Strong understanding of business operations and experience collaborating with diverse stakeholders.
- Enthusiasm for data science and a drive to deliver world-class products that make a difference. We do, and we hope you share our ambition!
Our adventure includes
- Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.
- Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.
- Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.
- Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.
- Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.
- Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized - but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.
Check out the adventure that awaits you on Instagram @lifeatholidu and dive straight into the world of Tech at Holidu for more insights!
Want to travel with us?
Apply online on our careers page! Your first travel contact will be Katharina from HR.
We are committed to diversity in all aspects of our business. We encourage applications from all genders, all corners of the world and all individual backgrounds. You are welcome to submit your application without a photo and without stating your gender, date of birth, marital status, nationality or disability status (if applicable). If you require any special assistance when arranging interviews, office visits or the recruitment process in general, please contact the relevant HR person responsible for this job and we will do our best to accommodate your needs.
We are committed to diversity in all aspects of our business. We encourage applications from all genders, all corners of the world and all individual backgrounds. You are welcome to submit your application without a photo and without stating your gender, date of birth, marital status, nationality or disability status (if applicable). If you require any special assistance when arranging interviews, office visits or the recruitment process in general, please contact the relevant HR person responsible for this job and we will do our best to accommodate your needs.
Office Life
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Do you have questions about a role or want to learn more about us? Send us an e-mail and we will get back to you soon!
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