Data Scientist

• Development of features to enhance the user experience.
• Building reusable code for future use.
• Understanding and implementation of security and data protection.
• Implement core business logic.
• Optimization of the application for maximum speed and scalability.
• Maintenance of code integrity and organisation.
• Writing clean, functional code.
• Compile and analyse data, processes, and codes to troubleshoot problems and identify areas for improvement.
• Testing and fixing bugs or other coding issues.
• Coordination of the implementation of the technical architecture.
• Participation in technical working groups, progress meetings and meetings with the users.
• Design and development of architecture components and building blocks using cloud components.
• Translating project-specific needs into a cloud structure that will suit those needs and considering the project needs in terms of resource usage and scalability.
• Completing the integration of new applications into the cloud environment.
• Setting up and maintaining the required tools for IaC (infrastructure as code).

Requirements

• Bachelor Degree with minimum 9 years of professional experience in IT.
• At least 4 years of specific expertise with data processing languages such as R, Python, Scala, Julia
• At least 2 years of specific expertise with distributed computing tools such as Spark, Hadoop, Hive.
• At least 2 years of specific expertise with cloud services operation, preferably AWS
• Good knowledge of architectural design and implementation of scalable modern data stores.
• Knowledge of data management in PostgresSQL and ElasticSearch.
• Knowledge of code versioning tools such as Git or Gitlab.
• Following certificates & standards are required for the performance of tasks: Microsoft Certified Data Scientist or, Microsoft Certified Data Engineer or, AWS Certified Data Analytics or, AWS Certified Big Data.
• Fluent in English at least at a level B2.