Lead Data Scientist with a Leading Payment Organisation

Roles and Responsibilities Job Responsibilities: 1. Interact with cross-functional teams to foster a data driven payments Create data pipeline for models which includes data preparation, data cleaning, . Work on big data systems such as Hadoop and Hive and spark for feature generation and data processing.4. Develop data streaming applications and REST services for model serving in production.5. Compile complex predictive model packages for production deployment; support model installations, and monitor and calibrate production models.6. Perform analyses on various data sources and generate reports and deeper insights at the aggregate level, as well as at the model level. Interpret and present these results to a non-technical audience.7. Find opportunities to create and automate repeatable analyses or build self-service tools for business build deep learning models on text image and voice domain which assist used in payments experiments, test hypotheses, and build models utilizing the traditional datasets and graph data Roles and Responsibilities Job Responsibilities: 1. Interact with cross-functional teams to foster a data driven payments Create data pipeline for models which includes data preparation, data cleaning, . Work on big data systems such as Hadoop and Hive and spark for feature generation and data processing.4. Develop data streaming applications and REST services for model serving in production.5. Compile complex predictive model packages for production deployment; support model installations, and monitor and calibrate production models.6. Perform analyses on various data sources and generate reports and deeper insights at the aggregate level, as well as at the model level. Interpret and present these results to a non-technical audience.7. Find opportunities to create and automate repeatable analyses or build self-service tools for business build deep learning models on text image and voice domain which assist used in payments experiments, test hypotheses, and build models utilizing the traditional datasets and graph data