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AutoScout24

Online marketplace facilitating European car transactions

Principal Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeMunich, GermanyNo salary listedIn-person

About the Job

Requirements

  • At least 10 years of experience in data science, machine learning, or applied artificial intelligence.
  • Strong hands-on skills in Python, SQL, and common machine learning frameworks.
  • Proven experience with Generative AI and large language models in real products.
  • Strong experience with Amazon Web Services and its machine learning and data ecosystem, including SageMaker, S3, EKS, Lambda, and IAM.
  • A solid background in cloud platforms, MLOps, and model deployment.
  • The ability to translate complex topics into clear business decisions.
  • Experience leading senior teams and shaping technical strategy.

Responsibilities

  • Define and own the data science and artificial intelligence strategy across the organization.
  • Lead the development and scaling of predictive and generative artificial intelligence models for marketplace and fintech use cases.
  • Partner with product and business leaders to align machine learning initiatives with company goals.
  • Design scalable machine learning systems and cloud-based workflows for training and deployment, with a strong focus on Amazon Web Services.
  • Build and operate production-ready machine learning solutions using Amazon Web Services services such as SageMaker, S3, Lambda, and EMR.
  • Ensure model quality, monitoring, governance, and compliance in production.
  • Mentor and develop data scientists and act as a senior technical advisor.

About the Company

AutoScout24

Online marketplace facilitating European car transactions

AutoScout24 runs an online car marketplace in 18 European countries, connecting private sellers, car dealers, and buyers with a large catalog of new and used vehicles. Users search listings to buy or sell cars, while sellers pay listing fees or buy advertising and value-added services; dealers also get marketing tools to reach more customers. It differentiates itself with a broad pan-European inventory and dealer-focused marketing solutions that cater to both private and professional sellers within an ecosystem of automotive platforms. Its goal is to enable efficient, large-scale online vehicle transactions by offering many choices for buyers and strong reach for sellers, while earning revenue from listings, advertising, and added services.

Company size
501-1,000
Company stage
Debt Financing
Total funding
$275M
Headquarters
Munich, Germany
Founded
1998

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