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You will manage the end-to-end lifecycle of data science services, from conceptualization to production, while ensuring high performance and reliability. You will also collaborate with cross-functional teams to develop innovative ML and GenAI solutions that drive business value.
You take full responsibility for the end-to-end lifecycle of data science services, from initial conceptualization and prototyping to full-scale production
You immerse yourself in your business domain to become an expert in value creation via the data science toolbox
You maintain a strong sense of ownership, you ensure the reliability and high performance of your deployed services
You actively share your expertise to raise the bar for engineering excellence within our data community
We’re looking for several roles with different focus topics. You will either..
… build data science services that power our entire shop and are crucial for our business success within the Product Data domain. This will include large scale services that utilize classic ML approaches like classification, NLP but also multimodal GenAI models
…join the core team behind our in-house ads platform. We run our own ad service which is rare in e-commerce. Your work drives significant additional revenue and shapes how sellers and shoppers experience our platform
… work on innovative and novel GenAI products where you are the expert and owner of the eval platform, working together with product management to constantly push our products forward
You work with a team of highly skilled and very passionate data scientists and ML-engineers who actively support each other and share their knowledge
You have extensive knowledge of the data science toolbox which includes picking the right methodology for the appropriate problem
Excellent Python and SQL skills are the foundation of your technical craft; you also have experience integrating agentic coding workflows (e.g., Claude Code) into daily development, testing, and refactoring routines
A proactive mindset and the ability to translate complex business problems into high-impact technical solutions define your working style
You are familiar with modern infrastructure tools like Kafka, Kubernetes, or Datadog and have production experience in a cloud environment (ideally GCP)
For our product data position, we specifically look for:
Experience shipping complex ML classifiers and NLP services
Experience shipping large scale GenAI applications
For our AdTech position, we specifically look for:
Experience with ranking, relevance, and/or bidding and pricing (cost-per-click) prediction models
Experience measuring business impact with A/B tests
For our GenAI Evals focussed position, we specifically look for:
Experience with customer facing GenAI applications evals platform
Deep expertise in evaluation and metric design to measure novel products
Bonus points if you’re familiar with concepts such as architecture as code, complex deployment pipelines and have experience translating cutting edge research into data science products
You are fluent in English (C1) and enjoy working in a dynamic, international environment
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