Develop, maintain, evaluate, enhance, and communicate real-time and offline Machine Learning Models. Proactively identify new methods and processes to increase revenue and reduce cost and friction. Work closely with Technology team to build Radial’s Data Science framework. Support cloud transformation to enhance Radial’s Data Science/Machine Learning capabilities. Perform ROI analysis and business case justification / review for new vendor/partner. Regularly report that shows the status and next steps for all Fraud Risk Technology Partners. Serve as main point of contact for off-shore (IDC) and in-house Data Scientist Resources during on and off hours. Telecommuting Permitted.
Minimum Requirements
Master’s degree, or foreign equivalent, in Data Science, Data Analytics, or a closely related quantitative field and two (2) years of experience in the job offered or two (2) years of experience in the field of Business/Data Analytics, Statistics, or related occupation
Special Skills
- Python
- SQL
- AWS
- PySpark
- Scikit-learn/Tensorflow/Pytorch
- Git/Jira
- Statistics
- Machine Learning/Deep Learning
- Docker
- Tableau
Any suitable combination of education, training and experience is acceptable.