Data Scientist for Search and Recommendation

Há 7 dias


Porto, Porto, Portugal Hostelworld Group Tempo inteiro
About Us

Hostelworld Group is a global online booking platform that inspires adventurous minds to meet the world. With a strong presence in 179 countries, we operate in 19 languages and have a mobile app in 13 languages.

Our Story

We are a team of over 230 people working together to make travel easier and more enjoyable. 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.

The Role & The Team

We have established four growth teams to cover all consumer/hostel-facing apps and channels, each responsible for their KPIs and roadmaps. These teams work closely with product teams to implement requirements and with engineering to implement algorithms and ETLs.

Job Description

As a Data Scientist for Search and Recommendation, you will be part of our data science team responsible for developing best-in-class search and ranking algorithms. Your primary focus will be on collaborating with stakeholders to identify opportunities for leveraging data science to solve business problems and working closely with product teams to implement requirements and with engineering to implement algorithms and ETLs.

Key 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

To succeed in this role, you should have:

  • MSc or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or related field
  • 2-5 years' experience as a data scientist in a digital product environment, ideally ecommerce or two-sided marketplace
  • Experience across all machine learning workstreams, including 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)
What We Offer

We offer a competitive salary of approximately €70,000 per year, enhanced annual leave, paid family leave, agile working, support for your ongoing growth and development, and inclusive people policies.


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