Descrição

Hostelworld, a leading online hub for social travel, is seeking a skilled data scientist to join our team in Porto, Portugal. As a data-driven company, we rely on data science to inform our business decisions and drive growth.

• We're a dynamic and fast-paced company with a growing, high-calibre team of 230 people across various departments, including Technology, Product, Global Markets, HR, Finance & Legal and Marketing Teams. Based in Dublin, London, Porto, Shanghai and Sydney, we offer a hybrid working model where you can spend time with colleagues in-person when needed.
• About the Role
• This role is based in Portugal, with an office hub in Porto available for those who prefer a hybrid model.
• Main Responsibilities
• Stakeholder Collaboration: Partner with business leaders to identify opportunities for leveraging data science to solve business problems.
• 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.
• Requirements and Qualifications
• 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.
• 2-5 years' experience as data scientist in a digital product environment, ideally ecommerce or two sided marketplace, developing & deploying successful ranking and recommendation algorithms.
• Experience across all machine learning workstreams: using large data sets, model development, feature engineering, statistics, experimentation, data visualization, optimization, software development.
• Mastery of experimental design, A/B testing, and evaluation metrics for ML models.
• Strong skills in Python and in a selection of machine learning 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 behaviour, data distributions, trends, and potential challenges.
• Experience with cloud frameworks like VertexAI.