Data Scientist

A data scientist analyze data makes value out of data. They proactively fetch information from various sources and analyzes it for better understanding about how the business performs, and to build AI tools that automate certain processes within the Organization, such as recommendation engines or automated lead scoring systems.

Project Delivery

• 95% of the changes should be deliver on time and within agreed budget
• No severity 1 issue should be reported post go live
• 10% roll backs allowed during the year

Application uptime

• 100% application uptime
• Application performance should be as per NFR defined for the project

Process Improvement

• Automate / improve efficiency of at least 2 business processes
• Implement Agile – Scrum practice

Cost optimization

• Cost savings of at least 5% in Financial year
• Process improvement to result in atleast 5% saving for atleast 1 project

Architecture Simplification

• Implement API gateway and move atleast 50% of applications to it in year
• 100% Sunset of unwanted applications / servers

Application Security and Audit

• Zero security incidence
• Fix audit issues in agreed timelines.