Data Scientist @ Akkodis

• Conception and implementation of innovative solutions based on analytics and data science for static or real-time streaming analyze
• Analysis of complex data from different sources with the help of modern technologies such as predictive, machine learning, artificial intelligence, natural language processing, computer vision
• Presentation and interpretation of the analytical results with the help of modern visualization tools (including Power BI, Qlik, Tableau) in a static context
• Support of the team in technical questions as well as interface communication to other departments and fields of competence for holistic solution approaches

Requirements

• Successfully completed studies in mathematics, (business) computer science, statistics, natural sciences or a comparable course of study
• Several years of professional experience in a comparable position in the analytics environment
• High programming affinity and experience in one language (R, Python, Java, C) and very good experience with a static analysis tool (Power BI, Qlik, Tableau, etc.)
• Experience in providing analytics solutions in the cloud as well as the use of PaaS functions (Azure, AWS) is an advantage.
• Strong analytical and conceptual skills, especially in handling data (SQL) and statistical modeling
• Transformers Strong analytical skills and Passion to innovate under challenging conditions
• Experience in Kafka, Grafana, Kibana, Scala, Python et Djongo, NoSQL, MongoDB PySpark, JupyterLab, Python et Anaconda, Linux et Hadoop, R, TensorFlow, Cloud, Power BI
• Experience in CentOS, Open LDAP, Ansible, Docker, Kubernetes ou Kafka
• Experience in AI Frameworks : Caffe, Tensor Flow, Microsoft Cognitive ToolKit, Theano, Amazon machine learning. Torch, Accord.Net, Apache Mahout