As limango we create a company which has been specializing in e-commerce for 18 years.

Together with platforms in the Netherlands, Poland, Austria 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.

Limango IT: 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 NetherlandsTogether 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 communicationThe following technologies await you: AWS, docker, kubernetes, microservices, GoLang, React, JSS, Jest, ES6/TypescriptWe work agile: You will become a part of our well-rehearsed agile teams of versatile and experienced Web Developers, dedicated Product Owners and Scrum MastersYour role and main tasks: Are you an experienced Data Scientist ready to take your career to the next level?

If you are passionate about building and deploying cutting-edge machine learning solutions, we want to hear from you!

As a Data Scientist at our organization, you will be at the forefront of driving data-driven decisions and personalization strategies.

Your responsibilities will include: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 GitExperience in training and validating ML solutions (decision trees, neural nets, regression models)Experience in building and deploying ML solutions in production environmentsAbility to scale solutions according to infrastructure or business requirementsGood understanding of data lake / lakehouse architectureGood 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 ecosystemProfessional experience with recommender systems and NLPExperience in structured streaming and Scala programmingFamiliarity with MLOps environments such as mlflowPrevious 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.

BenefitsPrivate health care We provide access to the best specialists for you and your loved ones.Language classesEnglish 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 WrocławNearby 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 companyAfter hours we often organize interesting outings or meetings in our office.