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# Data Scientist, Growth Data Products

- **Company:** GetYourGuide GmbH
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Large Language Models, Prompt Engineering, Apache Spark, Pandas, Production Code, Machine Learning Operations, Tools for Reporting, Virtual Agents, Data Pipelines
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/senior-data-scientist-growth-data-products-getyourguide-2-9637091

## About the Role

* Machine Learning. You have 5+ years of experience deploying ML models in production coupled with a solid understanding of ML techniques and their practical applications. Experience deploying and maintaining ML models in production is a must.
 * Analytics. Ability to turn data into actionable insights for business stakeholders. Experience with hypothesis testing and proficiency in analytics tools (e.g., pandas/polars) and SQL/Spark.
 * Experience with LLMs and Agentic AI. You have experience working in production with prompt design, tool use, orchestration (e.g., LangChain), retrieval/RAG, evaluator design, guardrails, and tracing/observability is a plus.
 * Software Engineering Proficiency in Python. Knowledge of distributed machine learning and computing frameworks (e.g., Spark) is beneficial.
 * Business Acumen. You have experience in a fast-paced business environment, demonstrating result-driven work.
 * Communication. Strong skills in explaining complex concepts to both technical and non-technical stakeholders.
 * An advanced degree in a quantitative field or equivalent practical experience.

## Description

* Develop innovative data products that not only enable suppliers to delight our customers but also drive the success of our company.
 * Take full ownership of projects, guiding them from the initial business challenge to the deployment of production code. This includes:

 * Analyzing large datasets to uncover meaningful insights
 * Building and maintaining robust data pipelines
 * Establishing rigorous evaluation and monitoring strategies, as well as in-production guardrails. Monitoring and optimizing data products after deployment

Contribute to the development of our machine learning infrastructure and help establish best practices that will shape our future.

Work closely with cross-functional technology and business teams, leveraging your unique perspective to solve complex and exciting problems.

Support the continuous improvement and growth of our team, including participating in recruiting efforts to bring in new talent.


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