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Senior Data Scientist (all genders)

Kaufland e-commerce | E-commerce
2h 21m ago
Remote In-Country
Full Time
IC
Germany
Permanent contract, Full or Part-Time, Remote or Cologne / Darmstadt / Düsseldorf / Berlin

Who we are

We are the tech powerhouse behind Kaufland’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!

Your tasks – this is what awaits you in detail

  • You work on new and existing projects that push the business forward
  • You seek out opportunities continually where data science can have big impact, pushing for those opportunities when they arise and pushing back when they aren’t high impact
  • You take full responsibility for the end-to-end lifecycle of data science services, from initial conceptualization and prototyping to full-scale production
  • You work autonomously or in teams of varying sizes on a wide variety of projects, some examples could include:
    • pricing prediction models
    • pricing elasticity models
    • multimodal classifiers 
    • complex and ambiguous forecasting models
  • You’re given a lot of freedom and responsibility to pursue projects that create real impact
  • You actively share your expertise to raise the bar for engineering excellence within our data community
  • 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

Your profile – this is what we expect from you

  • You’re passionate about data science and like to work with similarly passionate folks
  • You have experience mentoring colleagues at various levels
  • You have a long track record of conceptualizing and implementing end to end ML services that had a large scale impact on your company
  • You have extensive knowledge of the data science toolbox particularly classic ML algorithms
  • A proactive mindset and the ability to translate complex business problems into high-impact technical solutions define your working style
  • You have several years of experience with modern infrastructure tools like Kafka, Kubernetes, or Datadog and have production experience in a cloud environment (ideally GCP)
  • You have translated academic research into live data science services powering your company
  • 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, Düsseldorf, or in Berlin!
  • Do you want to move to Germany? No problem – 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!
  • ‘Deutschlandticket’: We subsidise your train season ticket for more mobility
  • Employee Discount: You will receive a monthly coupon for Kaufland.de
  • Free choice of hardware: Mac or Lenovo, it’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!

Diversity at Kaufland e-commerce

We welcome applications from everyone, regardless of skin colour, sexual orientation, gender identity, age, disability, ethnic origin, religion and ideology. We are signatories to the Charta der Vielfalt (German Diversity Charter) – because we know that extraordinary things can only be achieved with diversity. Read more here! When applying, you can optionally include your pronouns in your resume.
Why are you the perfect fit for this position?
Don't bother with cover letters - we're interested in facts and figures! Feel free to share your Github profile with us in your application.
As we have very international teams, we would highly appreciate it to receive your CV or profile link in English.
We are looking forward to your application!
Kaufland e-commerce Services GmbH & Co. KG
Postal address:
Habsburgerring 2
50674 Köln Your contact person: Kristina Heymann

Required Skills

kafkakubernetesdatadoggcp

Required Languages

🇬🇧 English

Related searches

  • Data Science Jobs
  • Remote Jobs in Germany
  • Jobs in Germany
  • Remote In-Country Jobs
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2h 21m ago

Senior Data Scientist (all genders)

Kaufland e-commerce·E-commerce
kafkakubernetesdatadoggcp
📡Remote In-Country
|Germany|Relocation
Data Scientist (AI/ML)
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