The Razer IFP is a 12-month programme where the Data Science Fellow will follow a structured formal and on-the-job training to understand the different used cases and applications of Razers data sources, and build a better contextual knowledge of these data sources. At the end of the program, the Data Science Fellow is required to build a linguistic model, which then needs to be deployed as part of the Razer Big Data teams current cloud infrastructure.
Key stages of the Razer IFP are:
- Initialization and Familiarization
- Data Extraction, Exploration and Feature Building
- Building and Evaluating the Linguistic Model
- Deployment and Application of Linguistic Model
- Linguistic Model Improvement
Within Razer, the Data Science Fellow will work closely with Team Razer including members of the Big Data team and other customer facing business units or teams, utilizing data and analytics to enhance product experience and services. Externally, as Razer is working on the Amazon Web Services (AWS) cloud-based infrastructure, the Data Science Fellow will also get to work with AWSs account manager and solution architect to discuss about the usage of the different AWS solutions and learn the best practices to implement them.