Data Scientist

As a Data Scientist, you will have access to a vast amount of data that you can examine and look for dependencies that will take the company one step further.

What will be your key responsibilities:

What will your work look like?
  • Mainly analysis of data from customers, their visualization and interpretation using Hive, Apache Spark, Jupyter Notebook, Tableau;
  • Application of Machine Learning methods in order to predict customer behavior, segmentation, classification and anomaly detection;
  • Design, development and monitoring of Machine Learning solutions in the environment of Open-source tools, (primarily SparkML, H2O.ai, Scikit-Learn ...);
  • Continuous development of the Machine Learning domain through the application of new methods, algorithms and tools;
  • Working with Clouder Hadoop platform;
  • Interaction with languages ​​(Python, SQL, HiveQL, Scala, Bash ..);
  • Cross-company collaboration (CRM, digital, segment, IT or sales);
  • Work agile and efficient...
  • ... and a lot more!

What experience should you have:

  • Languages: Python, SQL, HiveQL, Scala, Bash;
  • Tools: Hive, Apache Spark, Jupyter Notebook, Tableau;
  • Deep knowledge of machine learning and artificial intelligence;
  • Data and analytics enthusiasm;
  • Business mindset, understanding and developing the needs of the internal customers;
  • Knowledge of visualization methods and tools is an advantage;
  • Wish to work on various analytical projects.

What do you get in return:

The company will offer you great conditions, the latest technologies, the necessary training and contacts for staff in this area not only in Slovakia but also in the world. For example:
  • The mobile of your choice
  • Unlimited flat rate
  • Annual remuneration of up to 15% depending on the achievement of objectives
  • Flexible working hours and the possibility of working from home
  • 4 extra days off (sick day)
  • Possibility of personal and career development
  • A wide range of benefits in the field of healthcare, sports and culture
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