Senior Data Scientist (f/m/x)

Berlin

Welcome to Arbio – where innovation meets hospitality, and every day is an opportunity to redefine the way we experience travel!

Established in 2021, we specialize in revolutionizing short-term apartment rentals by integrating and expanding hospitality businesses. Our commitment to recognizing hard work led us to set new industry standards, expanding our exceptional property management services and creating a groundbreaking product.

Our secret weapon is our passionate team of hospitality and design enthusiasts dedicated to going that extra mile for realizing travelers' dreams. We curate unique guest rooms across our cities, inviting our guests to immerse themselves in the local culture and create cherished memories, all while ensuring outstanding quality and customer experience. With the ease of using technology and extra services, we provide our guests the freedom to tailor their trips to their preferences.

As our Senior Data Scientist, you’ll have the opportunity to join our company during an exciting phase of growth and international expansion. By working closely with our Founders, Product, and Engineering teams, you’ll play a pivotal role in shaping our data strategy and building solutions that directly impact our business and customer experience. Your expertise will help us uncover insights, optimize decision-making, and drive innovation as we continue scaling our operations and entering new markets.

You will have an impact on:

Leveraging data to drive insights, strategies, and decisions that shape our product and business trajectory.
Building and improving machine learning models and algorithms that enhance our platform’s capabilities.
Collaborating closely with cross-functional teams, including Product, Engineering, and Operations, to identify opportunities for impactful data solutions.
Designing and implementing scalable data pipelines, tools, and infrastructure to ensure optimal data accessibility and reliability.
Defining best practices for data science methodologies, reproducibility, and collaboration across the team.