Data Science Expert for Ecommerce Growth
Há 12 horas
Hostelworld Group is a leading online booking platform for hostels, offering an unbeatable selection of accommodations in unmissable locations worldwide. Our customers are adventurous travelers who crave cultural connection and unique experiences.
SalaryWe offer a competitive salary, estimated to be around €120,000 per year, depending on experience and qualifications.
Job DescriptionThis role is based in Portugal and will involve working closely with our growth teams to develop best-in-class search and ranking algorithms using machine learning techniques. The ideal candidate will have expertise across all machine learning workstreams, including model development, feature engineering, statistics, experimentation, data visualization, optimization, and software development.
The successful candidate will be responsible for monitoring data product performance and business impact, and will act accordingly when objectives are not met. They will also develop comprehensive diagnostic approaches, A/B testing plans, and scalable, repeatable best practices for our data science product development and roll-out processes.
Required Skills and Qualifications- MSc or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or related field with 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
- Expertise in experimental design, advanced A/B testing techniques, evaluation metrics for ML models, and MLOps
- Strong programming skills in languages such as Python, machine learning libraries (NumPy, Pandas, Hugging Face), deep learning frameworks (TensorFlow, PyTorch), and big data query languages (Scala, Spark)
We offer a range of benefits, including competitive salary, enhanced annual leave, paid family leave, agile working, support for ongoing growth and development, inclusive people policies, and the opportunity to give back to your local community with 5 paid volunteering days.
Our BehavioursWe believe in talented and diverse teams that reflect the diversity of our customers and the communities in which we operate. We lay out the above requirements to guide applicants to the experiences that we believe will allow you to be successful in the role.
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