Data Science Engineer - Marketing Analytics & Spend Optimization

Kaufland e-commerce โ€ข Germany
Remote Relocation
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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
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
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
Nice to Have
Familiarity with modern infrastructure tools like Kafka, Kubernetes, or Datadog

Job Description


Your tasks โ€“ 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 โ€“ this is what we expect from you

  • You have extensive knowledge of the data science toolbox which includes picking the right methodology for the appropriate problem
  • You have a strong foundation in statistical modeling (e.g., causal inference, regression, hypothesis testing)
  • Experience with performance marketing, spend optimization and attribution
  • Excellent Python and SQL skills are the foundation of your technical craft
  • A proactive mindset and the ability to translate complex business problems into high-impact technical solutions define your working style
  • Ideally you have some familiarity with modern infrastructure tools like Kafka, Kubernetes, or Datadog and have production experience in a cloud environment (ideally GCP)
  • You are fluent in English (C1) and enjoy working in a dynamic, international environment

What we offer

  • Create your own work-life balance: You have the flexibility to choose between working remotely (within Germany) or from one of our locations in Cologne, Darmstadt, Dรผsseldorf, or in Berlin!
  • Do you want to move to Germany? No problem โ€“ we offer you an attractive relocation package to give you a smooth start.
  • Urban Sports Club and RSG Group Fitness Studios: Get top deals for fitness, swimming, yoga and more
  • Mental Well-Being: We support you on your well-being journey with special offerings such as Instahelp, the digital platform for online psychological counseling
  • Vacation & Sabbatical: Enjoy 30 days of vacation per year and the opportunity to take a sabbatical once you have been part of the team for a certain period!
  • Option for Pluxee restaurant vouchers: Buy Pluxee vouchers through us and benefit from tax-advantaged meal allowances!
  • โ€˜Deutschlandticketโ€™: We subsidise your train season ticket for more mobility
  • Employee Discount: You will receive a monthly coupon for Kaufland.de
  • Free choice of operating system: MacOS or Ubuntu Linux, itโ€™s up to you
  • Boost your growth: Benefit from our online language learning programs, diverse in-house training, and our automated 360-degree feedback. We cover the costs for relevant conferences, training opportunities, and approved team workshops to strengthen personal interactions
  • This is who we are: Our dynamic culture combines flat hierarchies, a start-up mentality, an international team of over 65 nationalities, and the strength of the Schwarz Group to provide you an agile and secure working environment.
  • We are team players: From day one, you will connect not only with your team but also with others through our digital onboarding journey, the buddy program, and regular team and company events, all-hands meetings, powerful mornings, and much more!

Check out our Principles & our blog for even more insights into our company culture!

Who we are

We are the tech powerhouse behind Kauflandโ€™s international online marketplaces and a company within the Schwarz Group. Driven by a start-up mentality and working on an equal footing within flat hierarchies, we develop the best marketplace solutions for our customers, sellers and partners. #FromEuropeForEurope

Day by day, our Tech & Product Team of about 400 experts pursues the goal of creating the best possible customer shopping experience for our online marketplace. Through innovative technical developments, they not only create an outstanding shopping experience but also lay the foundation for an optimal selling experience for our sellers. Learn more about our division, areas, and cross-functional teams here!

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