Data Scientist

Zürich  ‐ Vor Ort
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Beschreibung

An opportunity has arisen for a large financial institution in Zurich for an initial 6 month contract.

This role is an opportunity for the candidates to work on a relatively new analytics team using modern technologies and supporting real use cases for the stakeholders, make a contribution to the evolution of the platform from architecture and operational points of view. Working closely with data scientists provides an opportunity to learn more about applying advanced analytical methods in real-life environment and longer term moving to a fulltime data scientist role.

In case of mutual interest of a longer-term relationship, there may be an opportunity for contract extension or internalisation after the initial contract period.
Overview

SUB Analytics IT team enables data scientists in various business functions by providing required tools, technology and data. The team builds a solution, which on one hand allows data scientists to analyse data and build advanced analytics models (Analytics Lab) and on the other hand to operationalize data pipelines to execute data sourcing, data integration, data enrichment with analytical results and integration with the downstream systems in an automatic manner (Analytics Factory).Key Responsibilities

The role of Data Scientists is mainly focused on supporting Analytics Lab service, i.e. to provide day-to-day guidance

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

Essentials Skills and Qualifications:

  • 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
  • Experience with other data science tools, e.g. SAS, SPSS, KNIME, RapidMiner, etc. is welcome
  • 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 relational databases, e.g. Oracle, SQL Server, etc.
  • Experience with Jupyter Notebook, Hue and/or other end user tools.
  • Knowledge of Python, Spark, Scala and other programming languages
  • Tableau experience, both Desktop to build dashboards and Server configuration


If this sounds of interest to you please get in touch with me right away


Michael Bailey International is acting as an Employment Business in relation to this vacancy.
Start
09/2019
Dauer
6 months
Von
Michael Bailey Associates
Eingestellt
17.09.2019
Projekt-ID:
1823757
Vertragsart
Freiberuflich
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