Where analysts, data engineers and data scientists connect. It’s also here where we leverage data to innovate and make intelligent decisions.
Analytics and Data Science Hub
01. collect and store
We use various tracking concepts, implemented into touchpoints in the customer journey. This helps us to understand the customer behavior while scaling products across multiple countries.
02. analyze
We use some fun to play with tools for analyzing the collected data points and finding the patterns, or the lack of such.
03. predict
With the help of Machine Learning we can predict the customer lifecycle stage, purchasing behavior and preferences.That is part of our approach for providing a value adding experience.
04. recommend
Product recommendations are common in online shopping. With our recommender system we seek to inspire and engage the customer, next to offering products to complement their shopping basket.
05. monitor
We continuously monitor all data points for discrepancies and new insights. This ensures we can make good decisions in good time.
Ourtools & technology
We generally have every software we need, and if we don’t, we make sure we get it.
Python
Google Tag Manager
Google-Cloud Dataflow
Google BigQuery
Kubernetes
Kuberflow
TensorFlow
Keras
NumPy
Pandas
Jupyter
Today's technology moves at a fast pace. More and more companies are realizing the importance of data in their decision making. As part of the Data Science team I am proud to make my contribution in building up smart and large scale solutions to help understand and improve our business.
Dora Petrella
Data Scientist, Düsseldorf, Germany
Our pricing solutions draw on various disciplines and it is exciting for me to work alongside experts from different backgrounds in our vertical. I have the opportunity to learn from experts in the field and have sufficient time to enhance my own skills and knowledge base.
Somnath, Sikdar
Data Scientist, Düsseldorf, Germany