At Amenitiz, we’re on a mission to democratise technology for independent hoteliers worldwide, from the bustling streets of Paris to the serene Uyuni Salt Flats in Bolivia.

Empowering over 12,000 hoteliers worldwide, we’re not just another SaaS scaleup - we’re revolutionising one of the world’s oldest industries. With over $50M raised from top-tier VCs backing disruptive giants like Alibaba, Toast, Zendesk, Delivery Hero, Revolut, and Loom, we’ve been named a TravelTech Titan and one of Wired's hottest start-ups.

Starting in 2024 with a diverse team of 380+ across our Barcelona and Medellin offices, Amenitiz fosters a culture of positivity and personal development. Within our ranks, you’ll find enthusiastic individuals who thrive on ownership and collaboration.

Every day, we lead by example, putting client satisfaction first and fostering a culture of strong execution. We’re dedicated to making a positive impact wherever we go. Are you ready to take on a new challenge?

About the role

As our Data Scientist, you will be to develop key models for our price advisor product. Empowering our hoteliers to make the best decisions to optimize RevPar and inform them on performance / market positioning.

In addition, the role will have the opportunity to contribute to a wide range of business challenges, from forecasting churn to customer lifetime value predictions.

Your missions

• Develop, test and productionize predictive algorithms by using state of the art machine learning algorithms and statistical model.
• Contribute to one or more of the following areas: time series analysis & forecasting, A/B testing, customer analytics, personalisation and churn prediction
• Generate and execute on ideas for exploratory analysis to shape future projects and provide recommendations for action.
• Continuously propose strategic changes and optimizations to the way we track, maintain and use data working closely with data engineering
• Create dashboards and reports to regularly communicate results and monitor key metrics.
• Collaborate with cross-functional teams across disciplines such as product, engineering, marketing amongst others; identify use cases for data science applications.
  

Your profile

• MSc in a scientific discipline such as Computer Science, Mathematics, Operations Research, Physics, or Statistics.
• Deep theoretical and applied knowledge in the following areas: forecasting, traditional machine learning, reinforcement learning, statistical inference, time series analysis, mathematical optimisation.
• Extensive experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to production alization and maintenance
• Strong data modeling and SQL skills.
• Familiarity with orchestration tools (Airflow, Luigi) and cloud infrastructures (GCP, AWS, Azure).
• Solid software engineering skills, and extensive experience using the Python ML and DS ecosystem.
• Working knowledge of agile development.
• Change management skills and adaptability in a fast-paced environment.
• Strong presentation skills in communicating with experts and novices.
• Ability to manage a team is desirable.
• Fluent spoken and written English.

Some of our favorite perks include…

• Extensive medical, and wellness coverage to ensure you’re feeling great physically and mentally.
• We provide Stock Options that ensure you have ownership in our success.
• Free Spanish and English language classes.
• Our beautiful and spacious office is located right in the heart of Barcelona (Ronda de Sant Pere). Daily fruits, Tuesday breakfasts, Thursday after-office, Gym, and everyday sunshine and views at the rooftop.
• We do monthly team-building activities. From sailing the Mediterranean Sea and shows like Cirque du Soleil, to poetry, cooking, or magic workshops.
• Forget about waiting till the end of the month to get paid. Access your salary any day you want!
• Flexible remuneration: enjoy saving on restaurants, kindergarten, transport, and training.
• Energetic, fast-growing, and international environment (26+ nationalities).
• One of the hottest start-ups in Barcelona, according to the WIRED
  
• Eager to be inspired and learn? We will buy ANY book you want, while also having a deep library with amazing knowledge to trigger your growth.
• Positive impact on the world: https://noos.global/en.

Team

Finance

Locations

Barcelona Office

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