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Data Science Engineer - Marketing Analytics & Spend Optimization

Germany
Full Remote Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

You will own the end-to-end lifecycle of data science services, from concept to production, directly influencing marketing budget allocation and multi-channel strategy. You need extensive knowledge of statistical modeling, causal inference, regression, and performance marketing with strong Python and SQL skills. The role requires production experience in cloud environments, ideally GCP, and a proactive mindset to translate business problems into technical solutions.

Key Highlights
End-to-end ownership of data science services from prototyping to production
Direct impact on marketing budget allocation and multi-channel strategy
Strong foundation in statistical modeling and performance marketing
Production experience in cloud environment (preferably GCP)
Proactive mindset and ability to translate complex business problems

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Key Responsibilities
Take full responsibility for the end-to-end lifecycle of data science services from initial conceptualization and prototyping to full-scale production
Immerse yourself in the marketing organization to become an expert in value creation via the data science toolbox
Maintain strong sense of ownership and ensure reliability and high performance of deployed services
Actively share expertise to raise the bar for engineering excellence within the data community
Translate complex business problems into high-impact technical solutions
Technical Skills Required
Python SQL Causal inference Regression Hypothesis testing Performance marketing Spend optimization Attribution Kafka Kubernetes Datadog GCP

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Benefits & Perks
Remote work within Germany
Relocation package for international moves
Urban Sports Club and RSG Group Fitness Studios memberships
Mental well-being support via Instahelp
30 days vacation per year with sabbatical option
Pluxee restaurant vouchers
Deutschlandticket subsidy
Employee discount on Kaufland.de
Free choice of operating system (MacOS or Ubuntu Linux)
Online language learning programs
In-house training and 360-degree feedback
Conference and workshop cost coverage

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Nice to Have
Familiarity with modern infrastructure tools like Kafka, Kubernetes, or Datadog

Job Description

Your tasks – this is what awaits you in detail
  • 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 our marketing organization to become an expert in value creation via the data science toolbox
  • Your work will directly influence spending allocation of our marketing budget and overall multi-channel strategy
  • 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

Your profile – this is what we expect from you
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Job Overview
Posted Aug 04, 2026
Employment Full-time
Experience Not Applicable
Location Germany
Category Data Science
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