This position creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data
Job Summary
This position creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data.
The role involves working with teams to research and implement predictive requirements leveraging industry standard machine learning and data visualization tools to empower confident decisions and product creation.
The position incorporates best practices in statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and runtime performance tuning with the goal of deployment and market introduction.
Matching Summary
This position creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data.
Skills & Requirements
Must-have
Pytorch and Tensorflow modeling
Data cleansing and transformation pipelines
Machine learning and statistical techniques
Cloud-AI technologies experience
Data visualization tools
Python, R, and SQL expertise
Nice-to-have
Engage executive-level stakeholders
Communicate data-driven results effectively
Experience with Linux/Unix and Windows environments
Use of open-source and vendor products
Story framework for data communication
Familiarity with Java or C++
Key Requirements
Master’s Degree in quantitative field or equivalent experience
Ability to build full model product using Pytorch/Tensorflow
Experience launching advanced analytics projects at scale