GetYourGuideStaff Data Scientist, Growth Data Products
GetYourGuide is hiring a Staff Data Scientist, Growth Data Products in Berlin, Germany. Level rates it ; you can apply on GetYourGuide.
Level's read on this job
- Level rates this data scientist role Uses AI ●●○○: an ordinary role that requires AI tools.
- Tools and skills the posting cites include MLflow and Databricks.
- Level classifies it as a lead role.
- Level lists 71 other open roles at GetYourGuide.
AI in this role
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
Growth Data Products (GDP) drives GetYourGuide's growth engine by transforming raw marketing data into reliable, self-service insights and automated decision systems. Our work spans every growth channel—Paid and Organic Search, Display Advertising, CRM and Lifecycle Marketing, Brand Marketing, Marketing Attribution, Experimentation, and Customer Lifetime Value measurement. We empower teams across the organization to make faster, smarter decisions at scale, turning data into actionable intelligence that fuels our mission to connect millions with unforgettable travel experiences.
Your mission
- Define, develop, and fully own data products that drive measurable revenue impact across all GDP domains.
- Translate growth strategies into technical roadmaps, aligning multiple squads and stakeholders around clear, measurable business outcomes.
- Design, deploy, and monitor production machine learning pipelines in Python and Databricks to support bidding, targeting, and personalization use cases.
- Raise the technical standard by introducing best practices, code quality standards, and robust observability within the data science and engineering teams.
- Champion a culture of experimentation through A/B test design, causal-inference analysis, and frameworks for rapid iteration.
- Advance customer lifetime value and attribution models that guide multi-million euro marketing investments.
- Drive cross-functional collaboration to ensure data products deliver tangible business value and strategic impact.
Your toolkit
- Proven track record as a Staff or Principal Data Scientist (or equivalent) delivering cross-functional products that deliver significant business value.
- Market and growth experience is essential, with strong domain knowledge in marketing analytics, customer acquisition, or revenue optimization.
- Mastery of Python, SQL, and modern big-data tools such as Spark and Databricks, with comfort in shipping production-grade machine learning services.
- Deep expertise in statistical testing, causal inference, and online experimentation frameworks.
- Hands-on experience in marketing growth areas like paid search, CRM, or attribution modeling.
- Advanced degree in a quantitative field (such as Statistics, Computer Science, Mathematics, Economics, or Physics) or equivalent practical experience.
- Strong communication skills that enable you to influence both technical and non-technical audiences across the organization.
Extras that give you an edge
- Experience with cloud orchestration and CI/CD technologies such as AWS, Airflow, or Kubernetes.
- Familiarity with Snowflake, MLflow, or large-scale feature-store architectures.
- Experience with deploying LLMs in production systems.
- A record of mentoring senior individual contributors and fostering a culture of psychological safety across teams.
- Publications or conference presentations on topics like large language models, agentic AI systems, or marketing technology innovation.
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 Data Scientist, Growth Data Products at GetYourGuide rates 43 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.
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. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data scientist job
- $166k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- What's a project where you used MLflow 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: MLflow 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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