Staff Data Scientist, Growth Data Products

GetYourGuide; Berlin; Hybrid; EUR 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Personal growth budget

Work from anywhere 30 days/year

Hybrid in-office three days per week

Zusammenfassung

GetYourGuide, based in Berlin, is looking for a Staff/Principal Data Scientist to define and own data products that drive revenue across GDP domains. You will build production ML pipelines in Python and Databricks, supporting bidding, targeting, and personalization.

You’ll raise the bar on code quality, observability, and experimentation while collaborating with marketing and engineering teams to turn data into measurable business impact.

Qualifikationen

• Extensive experience delivering cross-functional data products with measurable business impact.
• Strong domain knowledge in marketing analytics, customer acquisition, or revenue optimization.
• Expertise in Python, SQL, Spark/Databricks, and production ML services.
• Solid grounding in statistical testing and online experimentation.
• Excellent communication across technical and non-technical audiences.

Aufgaben

• Define, develop, and own data products driving revenue across GDP domains.
• Translate growth strategies into technical roadmaps with multiple squads.
• Design, deploy, and monitor production ML pipelines in Python and Databricks.
• Raise technical standards with robust observability and code quality practices.
• Champion experimentation through A/B testing and causal inference frameworks.
• Advance customer lifetime value and attribution models for marketing investments.
• Drive cross-functional collaboration to deliver tangible business value.

Kenntnisse

Staff/Principal Data Scientist

Marketing analytics

Python

SQL

Spark

Databricks

Statistical testing

Causal inference

Online experimentation

Communication

Ausbildung

Master's or PhD in quantitative field

Tools

Python

SQL

Spark

Databricks

Snowflake

MLflow

Airflow

Kubernetes

Jobbeschreibung

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.
• 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…

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.