Machine Learning Engineer - Growth

The Babyshop Group is a global premium and luxury retailer of children's clothing and products to the modern family. The Group operates,, and as well as a number of retail stores. Babyshop offers more than 500 prestige brands along with a number of proprietary brands like e.g. Kuling, STOY and a Happy Brand. With an annual sales run rate of over €100 million, catering +100 countries and reaching over 1,000,000 customers Babyshop Group is a leading player with a global footprint. 

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Data Science plays a vital role in Babyshop’s organisation, enabling data-driven decisions supported by both ad-hoc analysis as well as highly complex ML-models. We have machine learning models deployed, leveraging massive amounts of data, within multiple areas such as recommender systems, search & rank, demand predictions, CLV-predictions and attribution models to name some. You will join the Data Science team and primarily work with products to support the Growth department in our customer acquisition & retention strategy. Here, you will develop production grade code, ML-algorithms as well as infrastructure to ensure reliability and scalability. We believe that how we leverage data, accompanied by a customer-centric mindset, is the differentiating factor and are looking for an individual who shares that belief.


  • Produce high quality code, leveraging software development as well as ML-Ops best practices, to create long-lasting, easily maintainable, code and algorithms.
  • Design, engineer and improve algorithms mainly focused on our customer acquisition & retention strategy: CLV-predictions, Attribution modelling and Purchase probability predictions.
  • Being an integral part in the full lifecycle of ML-development: Forming hypotheses, data munging raw data, setting up experiments as well as evaluating them. This, followed by full-scale deployment into production, with continuous re-training, validation and monitoring.
  • Help idealise, plan and deliver intelligent algorithms, at scale, while working closely with business and tech to meet ambitious goals.
  • Keeping up to date with the latest ML modelling advances as well as within the ML-Ops field.
  • Integrate ML-algorithms into the platform, both independently and in close collaboration with software developers.
  • Contribute to innovation within the company, coming up with new ways to leverage ML and data.


  • You have a MSc in Statistics, Mathematics, Machine Learning, Computer Science/Information Technology, Economics/Econometrics or other quantitative scientific discipline and/or relevant work experience.
  • You believe good code is as important as good algorithms.
  • You are fluent in SQL (we use Snowflake), Python (which is our core language) and Data Science & ML packages (Pandas, scikit-learn, TensorFlow etc).
  • You have experience engineering and implementing tree based models and deep learning architectures.
  • You have a good understanding of cloud technologies (we use GCP).
  • You are pragmatic in how you approach problems, understanding it starts with fully grasping the problem and ends with engineering the solution, not the other way around.
  • You are not afraid of trying out new tools or technologies, and have an aspiration to continuously develop.
  • You are interested in keeping up to date with scientific advancements.
  • You are a strong English communicator, both written and spoken.


  • Have experience deploying ML-models into production, as well as the surrounding infrastructure including Docker, Kubernetes and ML-pipeline orchestration tools (we use Kubeflow Pipelines).
  • Have experience working with CLV-Predictions and/or Attribution modelling.
  • Have experience working with GA Measurement Protocol API, Google Ads API and/or Facebook Marketing API.


The Babyshop Group headquarter is in Stockholm with additional offices in London, Oslo and Paris. You find our modern automated warehouse and data-driven Customer Service and Photo studio in Jönköping. The position is based in our HQ office in Stockholm, Östermalm. As a Machine Learning Engineer you report to the Head of Data Science and belong to the Babyshop Group Tech-organisation.

Sounds interesting? Click on the “Apply” below to submit your application, where we encourage you to attach both CV and Cover Letter! The last day to submit is 2022-06-19 however applications will be reviewed continuously. Good luck!

Start: As soon as possible 
Extent: 40h/week, Permanent employment with six months’ probation period. Flexible working hours apply.
Where? HQ in Stockholm, Östermalm.


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