Auf einen Blick
- Aufgaben: Entwickle innovative Datenprodukte, die Kunden begeistern und den Unternehmenserfolg vorantreiben.
- Unternehmen: GetYourGuide, ein führendes Unternehmen im Bereich Reiseerlebnisse mit globaler Reichweite.
- Vorteile: Attraktives Gehalt, flexible Arbeitszeiten, Weiterbildungsmöglichkeiten und ein dynamisches Team.
- Weitere Informationen: Wachstumsorientiertes Umfeld mit großartigen Karrierechancen und internationalem Flair.
- Warum dieser Job: Gestalte die Zukunft des Reisens mit datengetriebenen Entscheidungen und innovativen Lösungen.
- Qualifikationen: Erfahrung in Machine Learning, Datenanalyse und Softwareentwicklung, idealerweise im Marketingbereich.
Das prognostizierte Gehalt liegt zwischen 60000 - 80000 € pro Jahr.
- # Senior Data Scientist, Growth Data Productsat Get Your Guide
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Senior Data Scientist, Growth Data Products1d ago G## Senior Data Scientist, Growth Data Products Get Your Guide10Engineering Full-time Berlin Apply Job### Job Description Be part of the Get Your Guide 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.
The Growth Data Products (GDP) team drives Get Your Guide's growth by transforming raw marketing data into reliable, self-service insights and automated decision systems.
This work spans various growth channels including Paid and Organic Search, Display Advertising, CRM, Lifecycle Marketing, Brand Marketing, Marketing Attribution, Experimentation, and Customer Lifetime Value measurement.
The team empowers faster, smarter decisions at scale, turning data into actionable intelligence.
As a Senior Data Scientist, your mission will be to develop innovative data products that delight customers and drive company success.
This involves taking full ownership of projects from business challenge to production deployment, including analyzing large datasets, building and maintaining robust data pipelines, establishing rigorous evaluation and monitoring strategies, and optimizing data products post-deployment.
You will also contribute to machine learning infrastructure, establish best practices, and collaborate closely with cross-functional technology and business teams.### Skills Required* Machine Learning (deploying models in production, ML techniques, distributed ML)* Analytics (data to actionable insights, hypothesis testing, pandas/polars, SQL/Spark)* LLMs and Agentic AI (prompt design, tool use, orchestration (Lang Chain), retrieval/RAG, evaluator design, guardrails, tracing/observability)* Software Engineering Proficiency in Python* Spark (distributed machine learning and computing frameworks)* Business Acumen* Communication* Advanced degree in a quantitative field or equivalent practical experience* Data science in marketing and growth #J-18808-Ljbffr
