Data Scientist - 100% remote possible

• 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

• 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

• 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.

Benefits

• 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 Wroc?aw
  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.