COME AND JOIN OUR FAMILY!

EVERY DAY WITH US SHOULD BE FUN
- DON´T MONDAY IT!

One Family.
We come from different places and
bring diverse skills and perspectives.
Together we shine as one family. One for the team.

This is us

The Babyshop Group; including Babyshop.com, Lekmer.se, Alexandalexa.com, Melijoe.com and 10 physical stores in Norway and Sweden is today a leading global omnichannel retailer with a total turnover of 120 million Euro.  We are a fashion retailer in tech, not only do we have a modern tech-stack, but we also have a self-automated AutoStore warehouse solution containing 130,000 boxes and 120 robots.  At present Babyshop Group has offices in Paris, London, Stockholm, Oslo and Seoul in total over 50 nationalities in our workforce and 70% of women. We are a young and fast-growing company with a high entrepreneurial spirit that is passionate about creating the best buying experience for parents under the core values Lead Not Follow, Own it, Simplify and One Family.  It all started with the single domain Babyshop.se and two entrepreneurs in 2006.

Our journey has only just begun. Want to come along?
We are constantly looking for talented people to work in our Stockholm headquarter, our state-of-the-art automated warehouse in Jönköping, our London office and in any of our retail stores in Sweden or Norway.

OPEN POSITIONS

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Location: Norway HQ & Stores
Final application date: 2022-05-31

Til vår fantastiske  butikk på Slependen søker vi etter smilende, energisk og engasjert selgere i følgende stillinger:

3 stykk 20% butikkmedarbeider

50% stilling vikariat frem til januar 2023.

Som selger i Babyshop har du en viktig rolle i butikken, du er butikkens ansikt utad og din viktigste oppgave er å sikre en optimal kundeopplevelse. Det skal ikke være tvil - Babyshop Slependen "er stedet du drar" når du trenger hjelp, veiledning og tips i ditt neste kjøp, til barnet. 

Vi søker deg som:

  • Setter kunden i fokus! 
  • Tar initiativ og viser engasjement 
  • Er strukturert, ryddig og liker å jobbe i høyt tempo
  • Er smilende og imøtekommende
  • Erfaring fra butikk er ett pluss men ikke ett krav
  • Er en teambuilder
  • Over 18år

Team Babyshop kan tilby følgende:

  • God opplæring i våre produkter 
  • Engasjerte og hyggelige kolleger
  • Varierte og spennende dager 
  • Oppfølging og mulighet for personlig utvikling

Vi tilbyr et inspirerende og inkluderende arbeidsmiljø i en hektisk og travel butikk! 

Vi søker deg som kan stille opp på dag og kveldstid i uken, men samtidig kan være fleksibel. Lørdagsjobbing må påregnes. 

Vil du bli en del av Babyshop familien?

Søk nå!

Vi ansetter fortløpende.

Location: Stockholm HQ
Final application date: 2022-06-15

We are looking for a self-driven and resourceful Campaign & Marketing Manager for our Babyshop storefront. In the role, you will act as a key link between stakeholders across the organization. You will collaborate with teams across the business to develop the full Babyshop shopping experience.

Location: Norway HQ & Stores
Final application date: 2022-05-25

Til vår fantastiske  butikk på Ski Storsenter søker vi etter smilende, energisk og engasjert selgere i følgende stilling

50% stilling vikariat frem til høsten 2023.

Som selger i Babyshop har du en viktig rolle i butikken, du er butikkens ansikt utad og din viktigste oppgave er å sikre en optimal kundeopplevelse. Det skal ikke være tvil - Babyshop Ski "er stedet du drar" når du trenger hjelp, veiledning og tips i ditt neste kjøp, til barnet. 

Vi søker deg som:

  • Setter kunden i fokus! 
  • Tar initiativ og viser engasjement 
  • Er strukturert, ryddig og liker å jobbe i høyt tempo
  • Er smilende og imøtekommende
  • Erfaring fra butikk er ett pluss men ikke ett krav
  • Er en teambuilder
  • Over 18år

Team Babyshop kan tilby følgende:

  • God opplæring i våre produkter 
  • Engasjerte og hyggelige kolleger
  • Varierte og spennende dager 
  • Oppfølging og mulighet for personlig utvikling

Vi tilbyr et inspirerende og inkluderende arbeidsmiljø i en hektisk og travel butikk! 

Vi søker deg som kan stille opp på dag og kveldstid i uken, men samtidig kan være fleksibel. Lørdagsjobbing må påregnes. 

Vil du bli en del av Babyshop familien?

Søk nå!

Vi ansetter fortløpende.

Location: Stockholm HQ
Final application date: 2022-06-30

A comparative thesis project using click-streamdata in a children’s fashion setting

About Babyshop Group
E-commerce is at the heart of Babyshop Group where premium childrens’ fashion is retailed on a multitude of websites (eg. lekmer.se, babyshop.se, alexandalexa.com, melijoe.com). Babyshop Group has grown rapidly and we sell and ship all over the world with a revenue of more than 1 billion SEK. In order to sustain such growth, Babyshop Group  will continue to work in a data driven environment, which you hopefully can be a part of! We work with machine learning (ML) on a daily basis, whether it be exploratory data analysis and modelling in a Jupyter Notebook or building ML-pipelines integrating cloud solutions for personalization, demand prediction, recommender systems, learning-to-rank and more. Our head office is located by Karlaplan where we regularly meet for fika and fun after-works.

Thesis proposal
On a daily basis at Babyshop Group, there are hundreds of thousands of users browsing the tens of thousands of articles in our assortment. With such an extensive assortment, finding relevant and inspiring articles becomes far from easy, and the need for recommender systems is high. In ecommerce, providing relevant recommendations is critical for an engaging and satisfactory user experience. Many different methods for creating personalized recommendations exist, e.g., collaborative filtering, content-based filtering and session-based filtering to name but a few. Within the latter, a subset focuses on what is referred to as sequence based recommendations, where the users’ historical behaviour on the site is used to generate recommendations that they would like to interact with in the future.

Previous work include K-Nearest Neighbours, Classic Recurrent Neural Networks, Long-Short Term Memory, Convolutional Sequence Embedding Recommendation Model (Caser), Graph Neural Network and Bidirectional Encoder Representations from Transformers for sequential Recommendation (BERT4Rec). Within the fashion domain, previous work have primarily focused on adult’s fashion, for instance Zalando’s session-based complementary item recommendation algorithm, while lacking coverage of the sub-domain of children’s fashion. Because of this discrepancy, and vast amounts of click-stream data collected by Babyshop Group, it becomes interesting to evaluate how these different approaches perform in a different, but comparable, domain. This thesis project entails a comparative review of these approaches, where the exact choice of methodologies to implement and compare, as well as the overall scope of the review would be in the hands of the student. For inspiration, most papers from the yearly RecSys conference can be found here.

For this thesis, we believe it to be preferable if you have the following qualifications:

●     Student of Computer Science, Machine Learning, Computer Engineering, Mathematics, Physics, or related field (e.g. Applied Mathematics/Statistics).

●     A good understanding of the use of some of the current state of the art machine learning frameworks such as Keras, TensorFlow, Scikit-Learn, Spark etc. in developing ML applications.

●     Proficiency in Python and Git.

●     Knowledge about data wrangling and data munging, using SQL, Pandas and Numpy.

●     Good communication skills in written and spoken English.

What we offer

●        Supervision from experienced data scientists and ML practitioners.

●        The compute-resources needed for such a modelling-heavy task.

●        30 000 SEK on completion of the thesis.

●        Inspiring culture and fun after-works!

What we unfortunately do not offer

●        Relocation package

●        Swedish Visa assistance

 

Starting, early September

Contact: Marcus Svensson, Head of Data Science at Babyshop Group: marcus.svensson@babyshop.se

Last application date is 30/6, but continuous selection is carried out.

 

Location: Stockholm HQ
Final application date: 2022-06-19

The Babyshop Group is a global premium and luxury retailer of children's clothing and products to the modern family. The Group operates babyshop.com, lekmer.se, melijoe.com and alexandalexa.com 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. 

For further information see www.babyshop.com

ABOUT THE POSITION

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.

WHAT YOU'LL DO

  • 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.

WHO YOU ARE

  • 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.

IT’S A PLUS IF YOU

  • 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 TEAM AND WORKPLACE 

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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