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.
📌 Data Scientist Goregaon (India)
🏢 Aditya Birla Group
📍 India
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