Data Scientist

Develop intelligent algorithms and predictive models designed to optimize Customer service delivery loops and insights.
Train, evaluate, and optimize deep learning network architectures leveraging software engines like Tensorflow.
Execute advanced numerical computation, structural statistical tracking, and algorithmic modeling using Scipy.
Build and deploy scalable machine learning architectures within public cloud spaces like Microsoft Azure.
Manage clean source code repositories, collaborative team branches, and version control structures utilizing Github.
Implement custom Artificial Intelligence (Ai) workflows to automate core data extraction and analysis pathways.
Perform meticulous data profiling, performance optimization iterations, and statistical validations on predictive outputs.

Bachelor’s or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative line.
5-8 years of professional software or data industry experience focusing on predictive analytics and AI development.
Verifiable hands-on mastery working inside Tensorflow, Scipy, and Microsoft Azure cloud environments.
Deep conceptual understanding of statistical modeling, advanced data structures, and machine learning life cycles.
Exceptional structural problem-solving logic paired with excellent documentation skills and version control execution via Github.