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GetYourGuide

Tech-enabled travel platform for activities

Senior Data Scientist - Central Data Products

Applied Machine LearningUpdated on Nov 12
Full-timeBerlin, GermanyNo salary listed

About the Job

Requirements

  • At least 5 years of experience deploying machine learning models in production and a solid understanding of machine learning techniques and their practical applications.
  • Ability to turn data into actionable insights for business stakeholders.
  • Experience with hypothesis testing and proficiency in analytics tools such as pandas or polars, and SQL or Spark.
  • Proficiency in Python.
  • Experience in a fast-paced business environment.
  • Strong skills in explaining complex concepts to technical and non-technical stakeholders.
  • An advanced degree in a quantitative field or equivalent practical experience.

Responsibilities

  • Develop data products that enable suppliers to delight customers and drive company success.
  • Take ownership of projects from the initial business challenge through production-code deployment.
  • Analyze large datasets to uncover meaningful insights.
  • Build and maintain robust data pipelines.
  • Establish evaluation and monitoring strategies and in-production guardrails, and monitor and optimize data products after deployment.
  • Contribute to machine learning infrastructure development and establish best practices.
  • Work with cross-functional technology and business teams to solve complex problems.
  • Participate in recruiting efforts to bring new talent to the team.

Desired Qualifications

  • Production experience with LLMs and agentic AI, including prompt design, tool use, orchestration such as LangChain, retrieval-augmented generation, evaluator design, guardrails, and tracing or observability.
  • Knowledge of distributed machine learning and computing frameworks such as Spark.

About the Company

GetYourGuide

Tech-enabled travel platform for activities

GetYourGuide operates a global online platform that links travelers with a wide range of activities, tours, and experiences to help plan trips. Users search, compare, and book experiences directly on the site, with payments handled through the platform and support available for bookings. It differentiates itself by offering a broad, multi-provider marketplace paired with easy search, personalized recommendations, and integrated booking management for both travelers and activity providers. The goal is to make it simple for people to turn ordinary trips into memorable experiences through a scalable, worldwide marketplace.

Company size
1,001-5,000
Company stage
Series F
Total funding
$1.1B
Headquarters
Berlin, Germany
Founded
2009

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