Every day, millions of people search for their perfect flight, hotel or rental car on Skyscanner! Our team is responsible for delivering data science solutions that power data-driven products across all these verticals and experimentation is a key part of this.
Our Data Science marketing team plays a fundamental role in Skyscanner's sustainable growth and user base retention. We work on projects including bidding optimisation, personalising our communications, assessing incrementality, and supporting marketing with experimentation best practices. As a Data Scientist, you will join a multi-disciplinary team to help us quantify the ability of different marketing channels and strategies to bring awareness of our compelling travel content to travellers.
The role will include:
- Applying classical statistical models and machine learning techniques to create scalable solutions for predictive learning or forecasting – what is our predicted 1 year ROI for different campaigns?
- Deploying and maintaining models in production environments. What model metrics are important to track? When should we refresh our clustering or forecasting models?
- Designing agile and rigorous experiments to measure efficiency of models, tools and programs. Knowing when to apply and how to design user-cohort A/B tests or geo-split / quasi-experimentation tests.
- Recommending ways to optimise campaign efficiency and maximise profitable growth – how should we setup our Google AdWords campaigns?
- Mentoring other team members and act as a subject matter expert of applied data science to marketing.
- Partnering closely with product, engineering, and marketing to tackle quantitative problems and identify trends and opportunities.
Some of our expectations for the role include:
- You are curious and inquisitive. It's just not about the modelling, it's about the quality of the data, the business metrics, how the systems interact with each other and more.
- You have practical expertise in experimentation design and analysis. Bonus points for practical expertise on experimentation for non-user driven testing (marketing, quasi-experimentation and equivalent) and attribution/incremental testing.
- Practical experience with Data Science applied to marketing – Measuring efficiency of campaigns across multiple channels, recency-frequency modelling, evaluating multi-touch attribution, media mix modelling etc.
- You have experience proactively building stakeholder relationships and an active interest in mentoring and developing others.
- Previous experience with Google AdWords and Google Analytics or other digital data tools. How to setup our keywords PPC campaigns and ad groups? How to optimise bids and budgets?
- A strong statistical and classical machine learning modelling basis (regression, classification, clustering).
- You are comfortable working with large datasets and proficient in tools such as SQL, Python, R, Spark.
- You have a good understanding of software development tools (Git, PyCharm, Docker, CI/CD, AWS (or equivalent)).
- You can communicate clearly with both technical and non-technical colleagues.
- You have 5+ years experience working in a Data Science role.
What else can we offer you’
Already a global leader in travel, we want to elevate the way we work to a whole other level. In return, you’ll get meaningful things like medical insurance, headspace subscriptions, a home office allowance and the option to buy more holiday. You’ll have the opportunity to work from any country for 4 weeks a year, and 30 days in our other global offices. Everything, in other words, to help you relax and give your best.
This employer is a corporate member of
myGwork – LGBTQ+ professionals, the business community for LGBTQ+ professionals,
students, inclusive employers & anyone who believes in workplace equality.
