SENIOR MACHINE LEARNING DATA SCIENTIST: RANKING & RECOMMENDATION SYSTEMS

At Hostelworld (Permanent), in Porto, Portugal Expires at : 2025-05-19 Remote policy : Full remote ABOUT US Hostelworld Group, the global hostel-focussed 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 that we make possible by providing an unbeatable selection of hostels in unmissable locations – all in the palm of their hand. It is the social nature and community feel of hostels and their environment, that enable travellers to embrace journeys of discovery, adventure and meaning. We have more than 13 million reviews across 17,800 hostels in more than 179 countries, making the brand the leading online hub for social travel. The website operates in 19 different languages and our mobile app in 13 languages. Founded in 1999 and headquartered in Dublin, Hostelworld has a growing, high-calibre team of 230 people within Technology, Product, Global Markets, HR, Finance & Legal and Marketing Teams across our Dublin, London, Porto, Shanghai and Sydney offices. Hostelworld is listed on the London Stock Exchange and Dublin Euronext. WHAT YOU'LL DO 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 implement algorithms and ETLs. Coordinate with stakeholders and provide timely delivery. Technical Expertise: Work closely with a team of machine learning engineers, data engineers and other data scientists to develop best-in-class search and ranking algorithms. Performance and Impact: Monitor data product performance and business impact and act accordingly when objectives are not met. Develop comprehensive diagnostic approaches, A/B testing plans and scalable, repeatable best practices for our data science product development and roll out processes. Main requirements MSc or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, Economics or related field with a preference for a specialization in machine learning or data science. 5+ years’ experience as a machine learning data scientist in a digital product environment, ideally ecommerce or two sided marketplace, developing & deploying successful ranking and recommendation algorithms in the Cloud. Expertise across all machine learning workstreams: using large data sets, model development, feature engineering, statistics, experimentation, data visualization, optimization, software development. Mastery of experimental design, advanced A/B testing techniques, evaluation metrics for ML models. Understanding of MLOps, model productionalization and experience in implementing machine learning algorithms end to end. Very strong programming skills in languages such as Python and machine learning libraries (such as NumPy, Pandas, Hugging Face), deep learning frameworks (TensorFlow, PyTorch), and big data query languages (Scala, Spark). Experience with LLMs as productivity tools. Experience mentoring more junior data scientists and knowledge sharing across. Nice to have Experience working with remote teams. Benefits & Perks Competitive salary & benefits. Enhanced annual leave plus 3 Wellbeing Days per year. Paid family leave (maternity, paternity, surrogacy & adoption). Agile working (plus a Working from Abroad Policy!). Support for your ongoing growth & development. Inclusive people policies (sickness, menopause, compassionate and fertility leave). A chance to give back to your local community with 5 paid volunteering days. #J-18808-Ljbffr