Data Scientist

Há 5 dias


Porto, Porto, Portugal Hostelworld Group Tempo inteiro

About Us

Hostelworld Group, a global online booking platform, inspires adventurous minds to connect with the world and come back with life-changing stories. Our customers crave cultural experiences that we make possible through our unbeatable selection of hostels in unmissable locations.

We have 13 million reviews across 17,800 hostels in over 179 countries, making us the leading online hub for social travel. Our website operates in 19 languages, and our mobile app is available in 13 languages.

Founded in 1999 and headquartered in Dublin, Hostelworld has a growing team of 230 people across our offices in Dublin, London, Porto, Shanghai, and Sydney. We are listed on the London Stock Exchange and Dublin Euronext.

This Role

This role is based in Portugal, with an office hub in Porto available for those who prefer a hybrid model. You will need to commute to our office hub as required.

Our Team

During 2020, we pivoted to a 'full ownership' growth team plus platform team model, establishing four growth teams covering all consumer/hostel-facing apps and channels. Each team comprises resources that report into the CPO and dedicated resources from the engineering and analytics functions.

We currently have four growth teams and four central/support teams, each with specific responsibilities. The Paid Performance team optimises paid web channels, while the Core team focuses on our progressive web app, organic web channels, and core OTA funnel performance.

The Mobile/Social team handles iOS and Android App development, including paid and organic downloads, CRM strategy, and social network management. The Supply team supports our two-sided marketplace through collaboration with customer-facing teams and leads on inventory, availability, and rates positioning.

Your 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, acting accordingly when objectives are not met.
  • Develop comprehensive diagnostic approaches, A/B testing plans, and scalable, repeatable best practices for data science product development and rollout processes.

What We're Looking For

  • MSc or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or related fields with a preference for specialization in machine learning or data science.
  • 2-5 years' experience as a data scientist in a digital product environment, ideally ecommerce or two-sided marketplace, developing and deploying successful ranking and recommendation algorithms.
  • Experience across all machine learning workstreams, using large data sets, model development, feature engineering, statistics, experimentation, data visualization, optimization, software development.

Salary: €70,000 - €90,000 per annum

Benefits

  • Competitive salary and benefits package.
  • Enhanced annual leave and three wellbeing days per year.
  • Paid family leave (maternity, paternity, surrogacy, and adoption).
  • Agile working and support for ongoing growth and development.
  • Inclusive people policies (sickness, menopause, compassionate, and fertility leave).

Our Behaviours

  • Grow others by investing in their growth and development.
  • Master it by being obsessed with expertise and developing skills.
  • Collaborate by working together to achieve results.
  • Adapt by working fluidly and adapting to new information.
  • Deliver by focusing on outcomes and collaborating to deliver work at speed.


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