(Senior) Data Scientist (f/m/d)

Holidu is one of the fastest-growing travel tech companies worldwide. With more than $100M in funding to date and an international team of travel and technology enthusiasts, our mission is to finally make the search and booking of vacation rentals easy. With our search engine for vacation rentals Holidu we help travelers book the ideal accommodation for the lowest price, and through our software-and-service solution Bookiply we also support vacation rental owners in multiplying their bookings with less work. Do you want to have an impact on millions of travelers worldwide? Then pack your bag, hop on board and get ready for takeoff!

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.

• 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.

• You will work in a squad-based organization with your team of data scientists, data analysts, and data engineers. Together, you are responsible for delivering an unbeatable product that offers the best possible experience to our internal and external users.
• You will be part of the team which is fully responsible for developing and improving our machine learning strategy company-wide
• You will be able to implement your ideas to improve further and develop our products.
• You will make use of our large datasets to create valuable models that will be used by millions of users.
• You will be responsible for intelligently utilizing our data to optimize conversion and business value for the company.
• You will constantly conceive and bring models into production, monitor them, and iterate upon your observations to improve their performance.

• 4+ years of professional experience as a Data Scientist, tackling business challenges using Data Science, Predictive Analytics, and Machine Learning.
• A degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field.
• Good business understanding and experience in managing different stakeholders.
• You are passionate about your work and love to collaborate with others.
• You love Data Science and building world-class products! We do, and we hope you share our ambition!

• Have an impact on the millions of people using our product every month.
• Grow with responsibility from day 1 and develop yourself further through regular feedback, workshops and knowledge exchange.
• Use your personal development budget and 2 extra days off to enhance your professional skills by visiting conferences, buying books, attending courses and more.
• Connect and have fun with international, diverse and yet like-minded people at work, regular events and weekly office days with your team.
• Get to know the world with our flexible home office policy and the opportunity to work from other local offices.
• Go traveling for 28 vacation days + the possibility to take up to 10 unpaid vacation days with interesting discounts on our Holidu Homes.
• Get a sneak peek at the adventure that awaits you on Instagram@lifeatholidu.

Apply online on our career page! Your first travel contact will be Katharina from HR.

We champion diversity in every aspect of life. We encourage applications from all genders, corners of the world and individual backgrounds. Please feel welcome to submit your application without a photo and details on your gender, date of birth, marital status and nationality. If you have a disability or special need that requires accommodation, please let us know.