Data Scientist - 100 % remote possible

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As limango we create a company which has been specializing in e-commerce for 10 years. Together with platforms in the Netherlands and Germany, we are part of the OTTO Group, one of Europe's leading e-commerce companies. We are the shopping platform with the largest selection of products for the whole family!
We work and play together. We value work-life balance and create a culture of respect, trust and equality. If these values are also key for you, there is a good chance that you will find your place with us.

Join the limango IT and Product Development!

  • In the limango IT and Product development you get the chance to contribute your own ideas and know-how to maintain and develop our highly frequented, self built online shop for our markets in Poland, Germany, Austria and the Netherlands
  • Together with our experienced and international development teams you will bring our shop sites to the next level: Contribute your expertise to our Access, Shop and Checkout Teams!
  • You will work in a modern tech stack world: React frontend, cloud-based & virtualized infrastructure, service-oriented architecture & event based communication
  • The following technologies await you: AWS, docker, kubernetes, microservices, GoLang, React, JSS, Jest, ES6/Typescript
  • We work agile: You will become a part of our well-rehearsed agile teams of versatile and experienced Web Developers, dedicated Product Owners and Scrum Masters

Your role and main tasks:

  • Building and deploying data-driven and machine learning solutions for portal personalization.
  • Taking care of the whole machine learning process – verifying data quality, choosing optimal algorithms, feature engineering, model validation with correct metrics, interpretability.
  • Monitoring, maintaining, and updating existing data / ML pipelines.
  • Building solutions following best software practices – clean code, testing, automatic deployments.
  • Working closely with data engineers, data scientists and development teams in building whole ML / data-driven infrastructure – reliable data pipelines and shared, clean data sources.
  • Explaining and recommending optimal data-driven / ML solutions to both business stakeholders and developer teams.
  • Sharing and improving ML / MLOps knowledge within the organization.

Who we're looking for:

  • Very good knowledge of Python programming, SQL, and git
  • Experience in training and validating ML solutions (decision trees, neural nets, regression models)
  • Experience in building and deploying ML solutions in production environments
  • Ability to scale solutions according to infrastructure or business requirements
  • Good understanding of data lake / lakehouse architecture
  • Good knowledge of English (C1) (work in an international environment)

What will be considered an asset:

  • Professional experience with PySpark programming.
  • Experience in working with Databricks Lakehouse platform ecosystem
  • Professional experience with recommender systems and NLP
  • Experience in structured streaming and Scala programming
  • Familiarity with MLOps environments such as mlflow
  • Previous experience in ecommerce data ecosystems

What you can count for?

  • Exciting challenges and a huge influence on our project and business – you’ll be responsible for bringing our new projects live,
  • Flat hierarchies, and direct communication in a very comradely atmosphere,
  • A steep learning curve in a dynamic company with international orientation,
  • Flexible working hours and either B2B or contract of employment,
  • Stability in those pandemic times – growing, profitable business and proper safety rules,
  • Possibility to develop your skills, thanks to trainings and cooperation with international experts.


  • Private health care
    We provide access to the best specialists for you and your loved ones.
  • Language classes
    English and German lessons in small groups, tailored to your skills.
  • Remote work and flexible working hours 
    Possibility of partial remote work, as well as adjusting working hours to your daily schedule.
  • Office in the center of Wrocław
    Nearby cinema, fitness club and large selection of lunch places.
  • Fruit Mondays
    There is no shortage of coffee, fruit, pizza, sweets and healthy snacks in our office.
  • Company events in the best company
    After hours we often organize interesting outings or meetings in our office.


Sounds good?

We can''t wait to get to know you. Apply now!