Job Informationen

Responsibilities: The role is mainly focused on supporting Analytics Lab service, i.e. to provide day-to-day guidance and support to the data scientists in various business divisions. In this position you will primarily focus on supporting data scientists in various business areas to help them use available tools and technology in the best way within context of their projects You will be the main point of contact to resolve various issues the data scientists experience in their data work in relation to the tools, technologies, security, connectivity and data Your profile: You are proficient in troubleshooting technical issues in complex IT environments You are technically savvy and able to learn new concepts and technologies quickly Solid knowledge of security concepts, including Unix ACLs, Kerberos and user impersonation among others Experience with Dataiku data science toolset incl. Data Science Studio and ideally Automation and API Nodes Experience with Hadoop technology stack, ideally Cloudera At least some understanding of data integration, machine learning and other advanced analytics methods Desired Skills and Qualifications: Experience with Jupyter Notebook, Hue and/or other end user tools. Experience of applying machine learning and advanced analytics methods to tackle business use cases Experience in using various machine learning methods and frameworks, including scikit-learn, MLlib, Tensorflow, Keras, H2O, XGBoost and similar Excellent knowledge of SQL with Oracle, Hive and Impala databases You have a successful track record of working with Python, Spark, Scala and other programming languages Tableau experience, both Desktop to build dashboards and Server configuration.

Benötigte Skills

• UNIX
• Security
• CLOUD
• SQL
• Oracle
• Python
• Python
• Scala