Staff Decision Scientist, Paid Search

AI in this role

scikit-learndatabricks

Change the way the world travels

Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours.

Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.

Team mission

This specific position sits within our Growth Analytics team, whose objective is to scale marketing investment toward the most incremental and loyal customers. The role is focused on our paid search channel where black-box auction dynamics, branded vs non-branded incrementality, and elasticity modelling define the analytical problem. The successful candidate will also contribute to cross-channel measurement questions as they arise.

Your mission

Develop quantitative analysis and statistical models to evaluate and steer marketing decisions
Propose and defend strategic recommendations to our top marketing leads
Setup and analyse marketing experiments to drive strategic decision making
Explore large datasets, give meaning to data and numbers, identify opportunities and issues, and present findings to stakeholders
Maintain and improve our marketing measurement tools (Attribution, experimentation framework, Customer lifetime value…)
Serve as a liaison between the marketing teams and the data engineering team
Mentor others in the skills needed for this role
Use AI to accelerate end-to-end analysis — from framing the question to delivering the insight — while holding a high bar for methodological rigor and validation

Your toolkit

8+ years of relevant experience interpreting data in an analytics or data science role
Prior experience analysing paid search and/or SEO performance, using platforms such as Google Ads/Search.
Strong knowledge of SQL and Python for analysis (eg, pandas, scikit-learn, pyspark)
Hands-on experience with causal inference methods (e.g. geo experiments, difference-in-differences, synthetic controls) and/or elasticity modelling applied to marketing spend decisions.
Ability to understand user behavior and meaning behind the numbers and a track record in sharing insights to business stakeholders.
Experience identifying where AI could meaningfully improve your team's analytics workflows or tooling, not just your own output.
Experience with data visualization and reporting tools (e.g. Looker, Jupyter Notebooks, Databricks).
Desire to work in an international environment, with minimal direction and with highly engaged individuals
Excellent written and verbal communication skills in English

How we’ll make your career journey extraordinary

Annual personal growth budget and mentorship programs for continuous learning and development
Work from anywhere in the world for 30 days per year
A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.
Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
Monthly transportation and fitness budget
Discounts for you, your friends, and family on GetYourGuide activities
Language reimbursement program
Health and wellness benefits

And more…

How to apply

Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.

We’re an equal opportunities employer

Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application.

#LI-Hybrid

How we rate this

Staff Decision Scientist, Paid Search at GetYourGuide rates 46 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

scikit-learnDatabricks

Questions you could be asked

What's a project where you used scikit-learn hands-on?
Walk me through how you've used Databricks in your day-to-day work.
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

List these exact terms on your resume: scikit-learn and Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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