Company Introduction
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 Responsibilities
- 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 Profile
- 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
What We Offer
- Impact: Shape the future of travel with products used by millions of guests and thousands of hosts
- Learning: Grow professionally in a culture that thrives on curiosity and feedback
- Great People: Join a team of smart, motivated and international colleagues
- Technology: Work in a modern tech environment with a scale-up and proven business model
- Flexibility: Hybrid setup with 50% in-office time and up to 8 weeks remote work
- Perks: Travel benefits, gym discounts, and other benefits to keep you energized