Informacje o stanowisku

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 Europes 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:

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 were 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 on?

• 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 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: 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!

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