Overview

Responsibilities:


- Translate unstructured business problems into well-defined machine learning projects
- Collaborate with a cross-functional team of product managers and developers to identify existing problems on time, prepare modeling solutions and apply them on real-time environment
- Build and deploy models for real-time predictions
- Build model performance monitoring tools, use the existing tools in the system to keep track of production level models' performance
- Prepare documentation for custom models
- Effectively communicate outcomes of analytics models to non-statistical audience

Required Qualifications:


- Degree in a quantitative discipline
- Relevant experience in doing ML work either in financial services or technology company is desired
- Expert experience in designing, developing, and deploying machine learning models/ algorithms
- Extensive programming experience in R or Python and an interest in learning new languages and technologies
- Knowledge of data structures and data engineering solutions
- Intermediate or upper level of English language