Specialist QA Data Scientist

Services | Pune, India | INDIA

Main Responsibilities and Deliverables:

  • Install IFM
  • Install Simulator
  • Deploy a new model provided by the DS Including mapping the data fields & features
  • Take a Data Set (usually provided by DS)
  • Run the data against the new model in IFM
  • Validate the results

 Qualifications / Education:  

  • E/B.Tech with Practical relevant experience/knowledge
  • High level English (verbal & written)
  • Proven experience in operating within a global environment
  • Experience working in a complex matrix environment
  • Basic experience with several of the following

Actimize : IFM

Programming Languages: SQL, Java, JS, Excel VBA

Web Technologies: HTML, CSS, XML, XSL, Servlets, Web Services

Operating Systems: Windows, Linux OS

Application Servers and Servlet Containers: WebSphere, Tomcat, Weblogic

Databases:  Oracle, SQL Server, Data Warehousing (ETL, OLAP)

 
Professional Capabilities      

  • Substantial professional capabilities in the domain
  • Analyzes information and deduces conclusions within the wider professional space
  • Starts to be seen as a professional by his team and peer community
  • Responsible for developing/configuring feature(s), functionality for an enterprise-grade software independently
  • Acts as a point of escalation for problems within NICE
  • Familiar with coding concepts for ensuring high scalability, multi-user, secured coding

 

Personal Leadership

  • Actively seeks information, and shares knowledge with others
  • Actively engages others in work done, to expand and broaden professional domain knowledge and know-how
  • Has high-attention to details and works well in a dynamic and stressful environment
  • Mentors junior members of the team
  • Performs code reviews

 Business Impact

  • Holds full domain responsibility
  • Displays conceptual thinking and professional discretion in area of responsibility
  • Applies independent judgment
  • Able to resolve problems of moderate scope which requires an analysis based on a review of a variety of factors

 


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