Data Scientist, Growth Data Products

About the role

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.

What you'll do

• Take independent ownership of data products from the initial concept and rigorous data validation all the way to deployment, automated triggering, and monitoring.
• Evaluate project suitability by balancing potential business value against technical effort, knowing exactly when to use machine learning and when a simpler heuristic will do the trick.
• Develop clean, well-documented, and unit-tested Python code while optimizing system performance through query enhancements, caching, and parallelization.
• Run deep-dive analyses, set up thorough A/B experiments, and create compelling visualizations to guide product strategy and share learnings with stakeholders.
• Set up basic monitoring and alerting for input, output, and business metrics, acting quickly on any anomalies to maintain system health and meet SLOs.
• Actively participate in code reviews, share knowledge, and contribute to the team's technical roadmap and operational processes.

What you'll need

• 3 to 4 years of hands-on experience building and validating machine learning models for production environments.
• Proficiency in Python with strong attention to code quality, testing, and software engineering best practices.
• Highly capable with SQL and data manipulation tools (like pandas or polars) and a strong grasp of statistics and hypothesis testing.
• Ability to take a high-level business problem, design a technical solution, and execute it at the feature level with minimal hand-holding.
• Ability to translate complex data and ML concepts into plain language for non-technical product and business partners.

Nice to have

• Hands-on experience building with LLMs and Agentic AI (e.g., prompt design, RAG, or orchestration tools like LangChain).
• Familiarity with distributed machine learning and computing frameworks like Spark.
• Prior experience working in growth, marketing tech, or a fast-paced e-commerce marketplace.
• An advanced degree in a quantitative field like computer science, mathematics, or statistics.

What they offer

• Annual personal growth budget and mentorship programs
• Work from anywhere in the world for 30 days per year
• Hybrid working: three days in office (Mon, Tue, Thu), two days optional at home
• Monthly transportation and fitness budget
• Discounts on GetYourGuide activities for you, friends, and family
• Health and wellness benefits