Primary Work Location - Chennai

Job Summary

Under general supervision, advances ACCs’ broad capabilities to use and deploy cutting edge data science and machine learning tools and methods in ACCs projects, platforms and products. Anchors current best practices by supporting the design and build of reusable data science assets. Simultaneously, work to keep ACCs on the bleeding edge by understanding the very latest and most sophisticated methods and tools for grappling with extremely large scale and complex problems. Applies descriptive, diagnostic, predictive, prescriptive and ensemble modeling, statistical techniques, and use of database tools and/or other approaches in quantitative analysis of complex business situations. Provides recommendations to moderately complex issues through knowledge of data scientific methods and machine learning / data engineering practices. Works in tandem with data scientists in peer positions.



Job Description / Responsibilities
Understanding in depth both the business and technical problems ACCs aims to solve




Exploring data and crafting models to answer core business problems that may not have a common blueprint
Contributing to the invention of current approaches and algorithms for tackling data intensive problems
Pioneering R&D; efforts to rapidly understand and assimilate state of the art methods
Scaling up from “laptop-scale” to “cluster scale” problems by contributing to efforts to standardize and industrialize solutions
Delivering tangible value very rapidly, collaborating with diverse teams of varying backgrounds and disciplines
Interacting with peer technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and identify prospects for improvement
Following best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases

Skills / Abilities
Technical background in computer science, data science, machine learnin

📌 Data Scientist Ii Chennai
🏢 Fedex AMEA
📍 Chennai