AI-Powered Data Scientist for Personalized Travel Experiences
Há 2 dias
Hostelworld Group is a leading online booking platform specializing in hostels worldwide. Our mission is to enable travelers to discover new cultures and experiences through social travel.
Job OverviewWe are seeking an experienced Machine Learning Data Scientist to join our team in Porto, Portugal. As a key member of our data science team, you will develop and deploy AI-powered ranking and recommendation algorithms to enhance our users' travel experiences.
Key Responsibilities- Collaborate 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
- Monitor data product performance and business impact and act accordingly when objectives are not met
- 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
- Competitive salary: €85,000 - €100,000 per annum, depending on experience
- 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
This role offers a unique opportunity to leverage AI and machine learning to drive business success in the travel industry. If you are passionate about developing innovative solutions and have a strong background in data science, we encourage you to apply.
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