Data Scientists Support (SME/3rd level support)

Data Scientists Support (SME/3rd level support)

Experis is the global leader in professional resourcing and project-based workforce solutions. Our suite of services range from interim and permanent recruitment to managed services and consulting, enabling businesses to achieve their goals. We accelerate organisational growth by attracting, assessing and placing specialised professional talent.

On behalf of our client, a leading financial institution in Zürich, we are looking for a Data scientist support to provide day to day guidance and support to the data scientists in various business divisions within the company.

Main responsibilities:

The role of Data Scientists Support is mainly focused on supporting Analytics Lab service.

Here is an overview of the role's main responsibilities:

• 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

The skills and experience needed for these positions are:

• You are proficient in troubleshooting technical issues in complex IT environments
• You are technically savvy and able to learn new concepts and technologies quickly
• You have great customer facing skills, are able to discuss complex technical issues, agree on priorities and manage expectations
• Solid knowledge of security concepts, including Unix ACLs, Kerberos and user impersonation among others
• Experience with Dataiku Data Science Studio and ideally Automation and API Nodes is a considerable advantage (Is a plus)
• Experience with other data science tools, e.g. SAS, SPSS, KNIME, RapidMiner, etc. is welcome (Is a plus)
• Experience with Hadoop technology stack, ideally Cloudera
• Experience with relational databases, e.g. Oracle, SQL Server, etc. (Must Have)
• Experience with Jupyter Notebook, Hue and/or other end user tools.
• Knowledge of Python, Spark, Scala and other programming languages (Must Have)
• Tableau experience, both Desktop to build dashboards and Server configuration
• At least some understanding of data integration, machine learning and other advanced analytics methods

Interested in this opportunity? Kindly send us your CV today through the link in the advert. However should you have any questions please contact Yiyi Thornton on +41 44 229 99 28.

Even though this position may not be the perfect fit for you, please reach out to us, as we have hundreds of open positions at Experis IT across Switzerland.

Check out all of Experis' job openings at www.experis.ch or visit my personal page and connect to me on LinkedIn.

We can only consider Swiss EU Nationals or people with a valid working permit for this role.