Senior Machine Learning Scientist, Porto Porto

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

Social network you want to login/join with:

Senior Machine Learning Scientist, Porto

Client:

Location: Porto, Portugal

Job Category:

Other

EU work permit required: Yes

Job Reference:

90f5f2d0fab0

Job Views:

17

Posted:

23. 01. 2025

Expiry Date:

09. 03. 2025

Job Description:

Hostelworld Group, the global
- focused 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.

Founded in 1999 and headquartered in Dublin, Hostelworld has a growing,
- caliber 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.

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 & TEAM

During 2020, Hostelworld pivoted from a more traditional functional CMO/CPO/CTO organization to a ‘full ownership” growth team plus platform team model. We currently have four growth teams and four further central/support teams.

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 define requirements and roadmaps and with engineering to implement algorithms and ETLs.
• Coordinate with stakeholders and provide timely delivery.
• 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.
• 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.
• Mastery of experimental design, advanced A/B testing techniques, evaluation metrics for ML models.
• Understanding of MLOps, model productionalization and experience in implementing machine learning algorithms end to end.
• Very strong programming skills in languages such as Python and machine learning libraries (such as Num
  Py, Pandas, Hugging Face), deep learning frameworks (Tensor
  Flow, Py
  Torch), and big data query languages (Scala, Spark).
• Experience with LLMs as productivity tools.
• Experience mentoring more junior data scientists and knowledge sharing across their organization.
• Expertise in 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.
• 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.

We believe in talented and diverse teams that reflect the diversity of our customers and the communities in which we operate. If you don’t meet all requirements, please consider applying if you think you can still perform the role as described.

#J-18808-Ljbffr