Data Scientist (all genders) at Kaufland e-commerce

on-site · festanstellung · Visa sponsorship

Apply for this role at Kaufland e-commerce

Responsibilities:
- Own end-to-end lifecycle of data science services: concept, prototype, production, monitoring and maintenance.
- Embed with the marketing organisation to identify high-impact use cases and translate business goals into data products.
- Influence marketing budget allocation and multi-channel strategy through models and analyses.
- Ensure reliability, scalability and performance of deployed services; take operational ownership.
- Mentor and share best practices to raise engineering and data-science standards across teams.

Requirements:
- Strong command of the data science toolbox and ability to select appropriate methods per problem.
- Solid statistical modelling skills (causal inference, regression, hypothesis testing).
- Experience in performance marketing: spend optimisation, attribution and measurement.
- Excellent Python and SQL skills; production experience in cloud environments (ideally GCP).
- Familiarity with infrastructure tools like Kafka, Kubernetes, Datadog is a plus.
- Proactive problem-solver with strong business-to-technical translation and fluent English (C1).