Marketing Data Scientist
At Hostelworld (Permanent), in Porto, Portugal
Expires at: 2025-05-19
Remote policy: Full remote
Expires at: 2025-05-19
Remote policy: Full remote
ABOUT US
Hostelworld Group, the global
- focussed online booking platform, inspires adventurous minds to meet the world and come back with
- 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.
It is the social nature and community feel of hostels and their environment, that enable travellers to embrace journeys of discovery, adventure and meaning. We have more than 13 million reviews across 17, 800 hostels in more than 179 countries, making the brand the leading online hub for social travel. The website operates in 19 different languages and our mobile app in 13 languages.
Founded in 1999 and headquartered in Dublin, Hostelworld has a growing,
- calibre team of 230 people within Technology, Product, Global Markets, HR, Finance & Legal and Marketing Teams across our Dublin, London, Porto, Shanghai and Sydney offices. Hostelworld is listed on the London Stock Exchange and Dublin Euronext.
WHO YOU'LL WORK WITH
You will play a key role in a diverse,
- talented Analytics & Insights team providing insights across a number of growth units including paid marketing, customer analytics, and app analytics to support
- making at C and senior management level. The Marketing Decision Scientist will play a pivotal role in driving
- informed marketing strategies and decisions, with a particular emphasis on managing and optimising Google Ads bidding algorithms. As a key member of the Analytics and Insights team, this role will involve close collaboration with paid marketing, app marketing, and data teams to uncover insights, optimise campaigns, and contribute to business growth.
WHAT YOU'LL DO
You will hone and develop a wide range of technical skills in managing our data analytics and data science products. The paid analytics team require a person who is flexible, adaptable and able to translate business needs into measurable results. It’s a rewarding experience with exciting diverse work:
Hostelworld Group, the global
- focussed online booking platform, inspires adventurous minds to meet the world and come back with
- 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.
It is the social nature and community feel of hostels and their environment, that enable travellers to embrace journeys of discovery, adventure and meaning. We have more than 13 million reviews across 17, 800 hostels in more than 179 countries, making the brand the leading online hub for social travel. The website operates in 19 different languages and our mobile app in 13 languages.
Founded in 1999 and headquartered in Dublin, Hostelworld has a growing,
- calibre team of 230 people within Technology, Product, Global Markets, HR, Finance & Legal and Marketing Teams across our Dublin, London, Porto, Shanghai and Sydney offices. Hostelworld is listed on the London Stock Exchange and Dublin Euronext.
WHO YOU'LL WORK WITH
You will play a key role in a diverse,
- talented Analytics & Insights team providing insights across a number of growth units including paid marketing, customer analytics, and app analytics to support
- making at C and senior management level. The Marketing Decision Scientist will play a pivotal role in driving
- informed marketing strategies and decisions, with a particular emphasis on managing and optimising Google Ads bidding algorithms. As a key member of the Analytics and Insights team, this role will involve close collaboration with paid marketing, app marketing, and data teams to uncover insights, optimise campaigns, and contribute to business growth.
WHAT YOU'LL DO
You will hone and develop a wide range of technical skills in managing our data analytics and data science products. The paid analytics team require a person who is flexible, adaptable and able to translate business needs into measurable results. It’s a rewarding experience with exciting diverse work:
- Develop, manage, and optimise bidding algorithms for Google Ads campaigns (Google search results and Google Hotel Price Ads) using Python scripts.
- Translate business objectives into functional code, ensuring that the bidding logic aligns with marketing goals and maximises the return on advertising spend (ROAS).
- Optimise budget allocation across channels and campaigns to improve profitability. Continuously monitor and analyse performance of the campaigns, identify areas of
inefficiency, and develop strategies to enhance bidding logic. - Provide
- driven recommendations for optimising marketing spend, customer acquisition,
retention, and lifetime value. - Design, implement, and analyse A/B tests and other experimental methodologies to assess the impact of marketing initiatives.
- Serve as a subject matter expert on data science best practices within the Analytics & Insights team.
Main requirements
- Minimum 2 years of experience in a Data Analytics or Data Science role, preferably within a marketing department.
- Advanced skills in SQL, Python, R, or similar programming languages.
- Excellent
- solving skills and attention to detail. - Communicate clearly and with purpose, working effectively with team members and stakeholders across the organisation.
- Ability to work independently and as part of a team in a
- paced environment. - Competency in Python/R.
- SQL (preferably Big
Query, Snowflake). - Strong proficiency in statistical analysis, machine learning, and predictive modelling techniques.
Nice to have
- Understanding of digital marketing metrics, SEO, SEM, and customer journey analysis.
- Experience with data visualisation tools such as Tableau, Looker, Power BI, or similar
- platforms.
- Familiarity with orchestration and ETL/ELT tools (e. g. , Apache Airflow, dbt) is a plus.
- Experience with version control systems (e. g. , Git).
- 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
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