Staff Data Scientist, Growth Data Products

DUDE CHEM; Berlin; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

GetYourGuide is seeking a qualified Data Scientist to enhance growth through data tools and algorithms. The ideal candidate will have a proven track record of delivering data products with measurable revenue impact and strong expertise in machine learning. Responsibilities include defining technical roadmaps and building machine learning pipelines to optimize marketing efforts.

Qualifications include an advanced degree in a quantitative field and proficiency in Python, SQL, and big-data tools like Spark and Databricks. Join our team and help shape the future of travel experiences!

Qualifikationen

• Proven track record as a Staff or Principal Data Scientist delivering cross-functional products.
• Strong experience in marketing analytics, customer acquisition, or revenue optimization.
• Comfort in shipping production-grade machine learning services.

Aufgaben

• Define and develop data products driving revenue impact across all domains.
• Translate growth strategies into clear technical roadmaps.
• Monitor production machine learning pipelines to support personalization use cases.

Kenntnisse

Python

SQL

Spark

Databricks

Statistical testing

Causal inference

Marketing analytics

Customer acquisition

Revenue optimization

Cloud orchestration

Ausbildung

Advanced degree in a quantitative field

Tools

AWS

Airflow

Kubernetes

Snowflake

MLflow

Jobbeschreibung

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. 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.