Senior Data Scientist

Hostelworld
Meet the World

Job details

  • Full-time
  • calendar
  • map markerPorto, PT
  • globeRelocation paid
  • cardRequires Work Permit
    Requires that you're a citizen or have a valid work permit / visa sponsorship to work in the country in which this position is based.
  • routeIntermediate
  • routeEnglish
    Preferred spoken language

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Intro

Like our customers, Hostelworld is full of open-minded and energetic employees. We pride ourselves in delivering the most effective and innovative technology solutions at pace and of high quality. Your personal growth is important to us, and we provide you the opportunity to develop and grow through varying project opportunities, further education, and benefiting from the supportive and cohesive culture within technology and the wider company.

This role sits in a newly formed Data Science team which is part of the Strategy, Planning and Insights team. The Senior Data Scientist will apply advanced analytical techniques to a range of business problems. They will work on the full lifecycle of model development, from data collection and processing to modelling and evaluation. The role will involve close collaboration with other analytical teams across the business to identify opportunities and provide support as necessary.

Key Responsibilities

  • Apply machine learning and advanced analytical techniques to deliver tangible improvements to the customer experience and business operations. Projects include:
    o Providing personalised recommendations for customers
    o Segmentation
    o Predictive modelling to improve customer targeting and marketing efficiency
    o Supporting business teams with test/experiment design
  • Ownership of full model development lifecycle; data collection, processing, modelling and evaluation
  • Pro-actively work with analytical teams across the business to support Data Science and analytical projects
  • Collaborate with engineering team to move models into production
  • Ad-hoc analysis and research when required

Main requirements

  • Msc degree in quantitative subject
  • 3-5 years experience in an analytical role, preferable in e-commerce
  • Commercial awareness and drive to use data science to deliver tangible business outcomes
  • Proven experience model development (e.g. regression, cluster analysis, recommender systems)
  • Strong understanding of different modelling techniques and machine learning algorithms
  • Proficient in using R and Python for data analysis and model development
  • Advanced SQL skills and experience working with unstructured data. Experienced in working with and integrating large, complex datasets from multiple sources
  • Experience working with the Hadoop platform
  • Strong communication skills

Perks

  • 22 days annual leave increasing to 27 days with service

  • Competitive salary

  • Refer a Friend Scheme - €1,500 bonus

  • Health Insurance

  • Meal Allowance

  • Hostelworld Credits

  • Financial Support for Continuing Educational Programmes

  • Training

  • Career Development

  • Mentoring Programme

  • Flexible Working Hours

Apply now

Sign up to apply

Or sign up to refer and earn a reward of €300