Staff Data Scientist, Growth Data Products Engineering Berlin, Germany

GetYourGuide Global Services GmbH; Berlin; Hybrid; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Stock options

Growth budget

Remote work mobility

Hybrid work

Team events

Transport allowance

Activity discounts

Language reimbursement

Health benefits

Job summary

GetYourGuide in Berlin seeks a Staff/Principal Data Scientist to define, own, and ship data products across GDP domains that drive revenue and faster, data-informed decisions.

You will translate growth strategies into technical roadmaps, align multiple squads, and design, deploy, and monitor production ML pipelines in Python and Databricks. The role emphasizes observability, experimentation, and cross-functional impact.

Qualifications

• Advanced degree in a quantitative field.
• Proven track record delivering cross-functional data products.
• Strong domain knowledge in marketing analytics or revenue optimization.
• Excellent communication to influence technical and non-technical audiences.

Responsibilities

• Define, develop, and own data products driving revenue across GDP domains.
• Translate growth strategies into technical roadmaps aligning squads.
• Design, deploy, and monitor production ML pipelines in Python and Databricks.
• Raise technical standards with best practices and observability.
• Champion experimentation with A/B tests and causal inference.
• Advance LTV and attribution models guiding multi-million euro investments.
• Drive cross-functional collaboration to deliver tangible business value.

Skills

Data science leadership

Marketing analytics

Python

SQL

Spark/Databricks

Experimentation & A/B testing

Statistics/causal inference

Data product delivery

Education

Advanced degree in quantitative field

Tools

Spark

Databricks

Snowflake

MLflow

Airflow

Kubernetes

Job description

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.

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

• Become a part of our success with virtual share options

• 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.