Machine Learning Scientist, Porto Porto

Machine Learning Scientist, Porto
Porto
Porto, Porto District, Portugal

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.

LOCATION

This role is based in Portugal. We have an office hub in Porto available for those who prefer a hybrid model where you can spend time with colleagues
- person. You will need to be able to commute to our office hub as required from time to time.

THE ROLE & THE TEAM

During 2020, Hostelworld pivoted from a more traditional functional CMO/CPO/CTO organisation to a ‘full ownership” growth team plus platform team model. More specifically, we established four growth teams to cover all consumer /hostel facing Apps and channels that reported into the CPO; and a separate CTO organisation that became responsible for supplying and maintaining common core services (such as inventory pricing, availability and checkout) via APIs to these four growth teams. Each of these four growth teams comprise resources that report into the CPO and dedicated resources drawn from the engineering function (developers, QA resources) and analytics function.

WHAT YOU'LL DO

Stakeholder Collaboration:

• Partner 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.
• Coordinate with stakeholders and provide timely deliver

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
• Develop comprehensive diagnostic approaches, A/B testing plans and scalable, repeatable best practices for our data science product development and roll out processes

WHAT WE’RE LOOKING FOR

• MSc or Ph
  D 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
• 2-5 years’ experience as data scientist in a digital product environment, ideally ecommerce or two sided marketplace, developing & 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.
• 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, Num
  Py, Pandas, Hugging Face), deep learning frameworks (Tensor
  Flow, Py
  Torch), and big data query languages (Scala, Spark)
• Experience conducting exploratory data analysis to understand user search behaviour, data distributions, trends, and potential challenges.
• Experience with cloud frameworks like Vertex
  AI.

WHAT WE OFFER

• 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

OUR BEHAVIOURS

• Grow others- We fundamentally believe that investing in growing others benefits everyone, whether it's helping them develop hard or soft skills.
• Master it - We are obsessed with our area of expertise and enjoy developing our skills.
• Collaborate - We are in it together, for the tough stuff and the celebrations too.
• Adapt - We work fluidly, adapting to new information and the evolving environment while staying committed to our goals.
• Deliver - Our focus is always on the end result; we value outcomes over activity.