Senior Data Scientist (f/m/d) - Advertisement Technology

Permanent contract, full-time, Cologne / Darmstadt / Düsseldorf / Remote

Who we are

We operate Several thousand sellers and millions of products make us one of the fastest growing online marketplaces. Our work is characterised by a dynamic corporate culture, with a start-up mentality and the power of a big corporate group. We combine knowledge and many years of experience in e-commerce with flat hierarchies and a highly motivated team. Whether it's from an intern: We take every idea seriously, because we want to work together in shaping the future of e-commerce!

We love flexibility! We offer you the best environment to work in a flexible and focused way: You decide whether you want to work in our office in Cologne // Darmstadt // Düsseldorf while at the same time having the opportunity to work remotely (Germany). We want to offer you the most attractive workplace in e-commerce and a maximum of flexibility for your personal work-life balance.

Day-by-day, our development team of over 300 experts pursues the goal of creating the best-possible customer shopping experience for the Kaufland marketplace. We are here to inspire millions of customers, to help them find, purchase and get the things they love. To enrich the lives of our customers, we collaborate in cross-functional teams, in which product managers, product designers, frontend and backend engineers, data scientists and lean managers join forces. Details regarding the challenges of the respective product areas can be found here:

Your task – this awaits you in detail

  • You drive the further development of our online shop advertisement technology. Working with our cross-functional product teams, you develop competitive advertisement products and add machine learning smartness into existing processes and components.

  • You will have access to vast amounts of data such as time series sales data, natural language product information, or customer behavioral data.

  • You will be responsible for finding the best approaches and solutions to solve business challenges, design data sets, and of course, build analytical and machine learning models.

  • You will have the opportunity to work on a vast array of data science challenges allowing for supervised and unsupervised approaches and bring new advances out of academia directly into production.

  • You will be able to measure the impact of your solutions in A/B tests and immediately get feedback about the value you provide to our customers and our business.

Your profile – this is what we expect from you

  • You have a university master’s degree or PhD in computer science, information systems, mathematics, or the like.

  • You have proven experience with machine learning, predictive analytics, recommender systems, solving optimization problems, and advertisement technology.

  • Ideally, you already have experience in exploiting behavioral data records and in bringing data science and machine learning solutions to production or a comparable track record in academia.

  • You have a high intrinsic motivation to work in an applied data science environment, thinking “end-to-end” over just solving a theoretical problem.

  • You have a very high capacity for abstraction, a sound algorithmic understanding and are used to finding your way around data sources, including a good knowledge of SQL or SQL-like dialects.

  • You are proficient in Python and have a good understanding of the data science ecosystem in Python, including standards such as pandas, NumPy, Scikit-learn, TensorFlow, and/or PyTorch.

  • You have excellent communication skills, are willing to embrace our company culture and values, and enjoy working in an international, English-speaking team.

What we offer

  • Create your own work-life! We offer you the best possible flexibility in terms of working hours and location 
  • A highly-motivated and qualified team from different fields and numerous nations
  • The future is digital - Develop the e-commerce of the future with us and work on a product with millions of users with a broadly-based technology stack
  • Power meets dynamic - flat hierarchies and start-up mentality meet and the power of a big corporate group and offers you an agile and secure working environment at the same time
  • Free choice of hardware – we provide you with the development environment of your choice
  • Personal & team growth: We love to have flexibility in terms of working location, but we also believe that personal interactions are important. That’s why we organize company events, and cover the costs to bring you there and to other (approved) get togethers with your peers. The same applies to conferences and other learning opportunities. We want everybody to grow personally and professionally, as a team and as a company.
  • Top conditions at the Urban Sports Club for fitness, team sports, yoga and more
Check out our Principles & our blog for even more insights into our company culture!

Refer an Engineer Program

You want to work for us, but not without your dearest colleague? Join us as a team and earn money by referring your buddy for one of our open Tech positions! Depending on the level we offer a bonus up to 1.300,- € per referral, which will be paid after successful recruitment (the first part with your first salary, the second part after your buddy passes the trial period).
Why are you the perfect fit for this position? Don't bother with cover letters - we're interested in facts and figures! 
Apply here
Your contact person: Lea Sycha
Kaufland e-ecommerce
Kaufland e-commerce Services GmbH & Co. KG

Postal address:
Habsburgerring 2
50674 Köln

We're looking forward to your application!