MARKETING DATA SCIENTIST

ABOUT US Hostelworld Group PLC is a groundbreaking social network powered OTA focused on the hostel market with a clear mission to help travellers find people to hang out with.
Founded in were a wellknown trusted brand with 240 teammates across 11 countries; hostel partners in 180 countries; and a strong commitment to building a better world in all that we do.
In particular our focus in the last few years has been on improving the sustainability of the hostelling industry through our membership of the Global Sustainable Tourism Council (GSTC); our active involvement in the Global Tourism Plastics Initiative (GTPI); our partnerships with Bureau Veritas to elish emissions benchmarks for the hostelling industry; and our recent partnership with the South Pole to offset all our greenhouse gas emissions in and .
You can read more about our story here.
Hostelworld site.
Hostelworld is listed on the London Stock Exchange Dublin Euronext and is an Investors in Diversity accredited employer.
LOCATION This role is based in Portugal.
We have a coworking space in Porto for those who prefer a hybrid model where you can spend time with colleagues inperson.
If necessary the role can be remote within Portugal with coming together for team meetings as needed.
WHO YOULL WORK WITH You will play a key role in a diverse highlytalented ytics & Insights team providing insights across a number of growth units including paid marketing customer ytics and app ytics to support decision making at C and senior management level.
The Marketing Decision Scientist will play a pivotal role in driving datainformed marketing strategies and decisions with a particular emphasis on managing and optimising Google Ads bidding algorithms.
As a key member of the ytics 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 YOULL DO You will hone and develop a wide range of technical ss in managing our data ytics and data science products.
The paid ytics team require a person who is flexible adaptable and able to translate business needs into measurable results.
Its 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 yse performance of the campaigns identify areas of inefficiency and develop strategies to enhance bidding logic.
Provide datadriven recommendations for optimising marketing spend customer acquisition retention and lifetime value.
Design implement and yse A/B tests and other experimental odologies to ess the impact of marketing initiatives.
Serve as a subject matter expert on data science best practices within the ytics & Insights team.
WHAT WERE LOOKING FOR Experience & Qualifications.
Minimum 2 years of experience in a Data ytics or Data Science role preferably within a marketing department.
Advanced ss in SQL Python R or similar programming languages.
Excellent problemsolving ss 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 fastpaced environment.
Essential Ss.
Competency in Python/R.
SQL (preferably BigQuery Snowflake).
Strong proficiency in statistical ysis machine learning and predictive modelling techniques.
Desirable Ss.
Understanding of digital marketing metrics SEO SEM and customer journey ysis.
Experience with data visualisation tools such as Tableau Looker Power BI or similar platforms.
Familiarity with orchestration and ETL/ELT tools (e.
.
Apache Airflow dbt) is a plus.
Experience with version control systems (e.
.
Git).
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 compionate 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 its helping them develop hard or soft ss.
We want learning and growing to be part of our DNA to help makes us a better team together.
Master it We are obsessed with our area of expertise and enjoy developing our ss.
We rarely take things at face value; we investigate interrogate and always look for the why and wherever possible we use data to find the best solution.
Collaborate We are in it together for the tough stuff and the celebrations too.
To achieve the best results we need expertise from all areas of the organisation and we wholeheartedly welcome diverse thinking.
Adapt We work fluidly adapting to new information and the evolving environment while staying committed to our goals.
Innovation and experimentation fuel our projects and were never afraid to pivot.
Deliver Our focus is always on the end result; we value outcomes over activity.
We collaborate to deliver work at speed without dropping any of our other behaviours.
Our people are key to our success.
Our talented and diverse teams reflect the diversity of our customers and the communities in which we operate.
Everyone brings different perspectives and experiences; you dont have to meet all the requirements listed above to apply for this role.