About Us
We inspire 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.
Our Mission
We have more than 13 million reviews across 17,800 hostels in over 179 countries, making us the leading online hub for social travel. The website operates in 19 different languages and our mobile app in 13 languages.
What You'll Do
Main Responsibilities
You will partner with business leaders to identify opportunities for leveraging data science to solve business problems. You will work closely with product teams to implement requirements and with engineering to implement algorithms and ETLs.
Key Skills
Developing best-in-class search and ranking algorithms
Monitoring data product performance and business impact and acting accordingly when objectives are not met
Developing comprehensive diagnostic approaches, a/b testing plans and scalable, repeatable best practices for our data science product development and roll out processes
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
2-5 years' experience as data scientist in a digital product environment, ideally e-commerce or two sided marketplace, developing & deploying successful ranking and recommendation algorithms through
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 behavior, data distributions, trends, and potential challenges.
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