Data Scientist - Machine Learning

The Babyshop Group is a global premium and luxury retailer of children's clothing and products to the modern family. The unique retail concept was developed in 2006 when the Swedish entrepreneurial couple Linn and Marcus Tagesson set up the business. Today, the Babyshop Group is a leading player with a global footprint and +62 million website visitors annually and 1 million retail customers per year with customers across 170 countries. 

The Group presides over an exclusive portfolio that consists of the e-commerce websites,,, and Under this umbrella, the Group offers more than 500 prestige brands along with a number of proprietary brands like e.g. Kuling, STOY and a Happy Brand. 

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Data Science plays a vital role in Babyshop’s organization, allowing for 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, demand predictions, CLV-predictions and attribution models to name some. You will join a small team of Data Scientists and help the rest of our organization to better understand data and apply it in their daily work and decision making. 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.


  • Help idealize, plan and deliver intelligent algorithms, at scale, while working closely with business and tech to meet ambitious goals.
  • 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.
  • Design and engineer algorithms in primarily one or more of these domains: Recommender Systems, Learn-to-Rank, Computer vision, Time series forecasting, CLV-Predictions, Attribution modeling.
  • Keeping up to date with the latest ML modeling advances as well as with best practices within the ML-Ops field.
  • Integrate ML-algorithms into the platform, both independently and in close collaboration with software developers.
  • Visualize and explain insights from data to non-technical stakeholders.
  • Contribute to innovation inside the company, coming up with new ways to leverage ML and data.


  • You have a MSc Statistics, Mathematics, Machine Learning, Computer Science/Information Technology, Economics/Econometrics or other quantitative scientific discipline and/or relevant work experience.
  • You are fluent in SQL (we use Snowflake), Python (which is our core language) and Data Science & ML packages (Pandas, scikit-learn, TensorFlow).
  • You have experience engineering and implementing tree based models and deep learning.
  • You have a good understanding of cloud technologies (we use GCP)
  • You are not afraid of trying out new tools or technologies and have an aspiration to continuously develop.
  • You have a visionary mindset. Understanding how to improve business processes and find opportunities to apply data science techniques to real problems is as exciting to you as solving them.
  • 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 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.
  • Have experience developing websites using ReactJS and/or Gatsby.
  • Have experience working with data streams (eg. Apache Kafka).

Start: Immediate

Extent: 40h/week, Permanent employment with six months’ probation period

Location: HQ in Stockholm, Östermalm


We are a diverse group of likeable, youthful (in age or spirit) people from all over the world that simply love what we do and has a lot of fun. At our workplace, characterized by the belief and values “Lead not follow, Own it, Simplify and One family”, you will collaborate with talented and passionate colleagues across the company. These colleagues are a blend of Digital Marketing, Graphics, Logistics & Robot Automatization, IT, Operation, Growth, Finance, Customer Service, BI, Buying (inc proprietary brands), People/Culture, Photo/Copy, Brand marketing (inc social media team). We are endeavouring real-world practitioner experience across a range of disciplines, collaborating with experts in other spaces. 

Are we a good match?

The position is based in our HQ office Stockholm and you report to the Head of Data Science. Sounds interesting? Please click on the “Apply” below to submit your application! The last day to submit is 2022-01-16. We review applications continuously but will stop once we found our perfect match - so don't wait too long!


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