Expires at : 2025-08-19
Remote policy : Full remote
ABOUT US
Hostelworld Group, the global hostel-focused online booking platform, inspires adventurous minds to meet the world and come back with life-changing stories to tell. Our customers are not your average tourists; they crave cultural connection and unique experiences, which we facilitate by offering an unbeatable selection of hostels in unmissable locations—all accessible via their mobile devices.
It is the social nature and community feel of hostels that enable travelers to embrace journeys of discovery, adventure, and meaning. We have more than 13 million reviews across 17,800 hostels in over 179 countries, making us the leading online hub for social travel. Our website operates in 19 languages, and our mobile app in 13 languages.
Founded in 1999 and headquartered in Dublin, Hostelworld has a growing, high-caliber team of 230 employees across Technology, Product, Global Markets, HR, Finance & Legal, and Marketing, located in Dublin, London, Porto, Shanghai, and Sydney. Hostelworld is listed on the London Stock Exchange and Dublin Euronext.
WHAT YOU'LL DO
1. Stakeholder Collaboration: Partner with business leaders to identify opportunities for leveraging data science to solve business problems. Work closely with product teams to implement requirements and with engineering to develop algorithms and ETLs. Coordinate with stakeholders for timely delivery.
2. Technical Expertise: Collaborate with machine learning engineers, data engineers, and data scientists to develop search and ranking algorithms.
3. Performance and Impact: Monitor data product performance and business impact. Develop diagnostic approaches, A/B testing plans, and scalable best practices for data science product development and deployment.
Main requirements
* MSc or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or related areas, preferably with specialization in machine learning or data science.
* 2-5 years of experience as a data scientist in a digital product environment, ideally e-commerce or two-sided marketplace, developing and deploying ranking and recommendation algorithms.
* Experience across all machine learning workstreams: large data sets, model development, feature engineering, statistics, experimentation, data visualization, optimization, and software development.
* Mastery of experimental design, A/B testing, and evaluation metrics for ML models.
* Strong skills in Python and libraries (Keras, NumPy, Pandas, Hugging Face), deep learning frameworks (TensorFlow, PyTorch), and big data query languages (Scala, Spark).
* Experience conducting exploratory data analysis to understand user search behavior, data distributions, and trends.
* Experience with cloud frameworks like VertexAI.
Nice to have
* Experience working with remote teams.
* Competitive salary & benefits.
* Enhanced annual leave plus 3 Wellbeing Days per year.
* Paid family leave (maternity, paternity, surrogacy, and adoption).
* Agile working environment (including a Working from Abroad Policy).
* Support for ongoing growth and development.
* Inclusive policies covering sickness, menopause, compassionate, and fertility leave.
* Opportunity to give back to the community with 5 paid volunteering days.
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