(Senior) Data Scientist (all genders)
Holidu
(Senior) Data Scientist (all genders)
Holidu is one of the fastest-growing travel tech companies worldwide. Our mission is to make the booking and hosting of holiday homes free of doubt and full of joy. We help hosts to manage their vacation rental with ease and guests to find the perfect holiday home they truly enjoy. Our team of more than 600 colleagues from 60+ nations shares a passion for modern technologies, an ambition for constant improvement and the drive to bring the best experience to more than 40k hosts and 100 million website users each year. You want to achieve amazing milestones with us? Then pack your bag, hop on board and get ready for take off!
Your future team
This position can either be located in our office in Munich or remotely from Berlin with 1 week per quarter in Munich.
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.
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
- Collaborate across various business departments to identify opportunities and solve critical business challenges using data science solutions.
- Design and implement advanced statistical models to analyze diverse datasets and solve critical business problems.
- Build and optimize predictive models such as booking cancellation forecasts, churn predictions, revenue optimization, and marketing channel allocation.
- Build and optimize ranking models, recommender systems and user personalization models to be used in our website.
- 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
- Minimum 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.
- Experience in Ranking 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: Make a difference for hundreds of thousands of monthly users.
- Growth: Take responsibility from day one and develop through regular feedback, workshops, and knowledge exchanges.
- Personal Development: Use your learning budget and 2 extra study days for conferences, books, courses, and more.
- Community: Engage with international, diverse, yet like-minded colleagues through regular events and 2 office days per week with your team.
- Flexibility: Benefit from our hybrid work policy and the chance to work from other local offices for up to 8 weeks a year.
- Fitness: Get a premium gym membership at a discounted rate.
- Travel: Enjoy 28 vacation days + 13 public holidays in Bavaria and the possibility to take up to 10 unpaid vacation days with special discounts on our Holidu Homes properties.
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?
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.