Be part of the GetYourGuide journey and connect people with unforgettable travel experiences worldwide. Since 2009, millions of travelers have booked unique activities with us in over 12,000 cities. Our headquarters in Berlin is supported by 16 other local offices across the globe.
Ready to join a diverse community of over 850 fellow explorers dedicated to revolutionizing the travel experience industry? Check out our careers site to learn more.
Team missionGrowth 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.
As a valued member of our inclusive and dynamic team, you will collaborate closely with fellow Data Scientists, MLOps Engineers, and business stakeholders continuously innovating to enhance the quality of our marketplace catalog. Together, we strive to make every travel experience unforgettable.
Your mission:- Develop innovative data products that not only enable suppliers to delight our customers but also drive the success of our company.
- Take full ownership of projects, guiding them from the initial business challenge to the deployment of production code. This includes:
- Analyzing large datasets to uncover meaningful insights
- Building and maintaining robust data pipelines
- Establishing rigorous evaluation and monitoring strategies, as well as in-production guardrails. Monitoring and optimizing data products after deployment
- Contribute to the development of our machine learning infrastructure and help establish best practices that will shape our future.
- Work closely with cross-functional technology and business teams, leveraging your unique perspective to solve complex and exciting problems.
- Support the continuous improvement and growth of our team, including participating in recruiting efforts to bring in new talent.
- Machine Learning. You have 5+ years of experience deploying ML models in production coupled with a solid understanding of ML techniques and their practical applications. Experience deploying and maintaining ML models in production is a must.
- Analytics. Ability to turn data into actionable insights for business stakeholders. Experience with hypothesis testing and proficiency in analytics tools (e.g., pandas/polars) and SQL/Spark.
- Experience with LLMs and Agentic AI. You have experience working in production with prompt design, tool use, orchestration (e.g., LangChain), retrieval/RAG, evaluator design, guardrails, and tracing/observability is a plus.
- Software Engineering Proficiency in Python. Knowledge of distributed machine learning and computing frameworks (e.g., Spark) is beneficial.
- Business Acumen. You have experience in a fast-paced business environment, demonstrating result-driven work.
- Communication. Strong skills in explaining complex concepts to both technical and non-technical stakeholders.
- An advanced degree in a quantitative field or equivalent practical experience.
- Experience with data science in marketing and growth.
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 applySubmit 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 [email protected].
We’re an equal opportunities employerOur 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
Skills Required
- 5+ years experience deploying ML models in production
- Proficiency in Python and software engineering best practices
- Experience with analytics tools (pandas or polars)
- Proficiency in SQL and experience with Spark
- Experience with LLMs and agentic AI in production (prompt design, orchestration, LangChain, retrieval/RAG, evaluator design, guardrails)
- Experience building and maintaining robust data pipelines and in-production monitoring/guardrails
- Advanced degree in a quantitative field or equivalent practical experience
- Strong communication skills to explain complex concepts to technical and non-technical stakeholders
- Knowledge of distributed machine learning and computing frameworks
- Experience with data science in marketing and growth
What We Do
GetYourGuide is a leading global online marketplace to discover and book experiences worth traveling for. Travelers can use GetYourGuide to find things to do in more than 11,000 cities, including tours from local experts, exclusive access to must-see attractions, as well as immersive bucket-list experiences through its Originals by GetYourGuide offering. Since being founded, the GetYourGuide platform has sold 150 million tickets from 30,000 supply partners who leverage GetYourGuide’s easy-to-use platform to grow their businesses. If you share our passion and would like to join our team, check out our open positions at careers.getyourguide.com or take a look behind the scenes of GetYourGuide on our blog: inside.getyourguide.com.









