Data Science Fellow (12-month contract)

Location: Asia-Pacific - Singapore
BU/Function: Software BU
Seniority: Manager & Professionals
Job Code: 1779

Job Responsibilities

Partnering with Enterprise Singapore, the Big Data team at Razer Inc is seeking for a Data Science Fellow with rich natural language processing (NLP) expertise to perform text to sentiment analysis under the Innovation & Enterprise Fellowship Programme (IFP). The IFP seeks to develop industry-relevant Innovation & Enterprise (I&E) talent from existing Researchers, Scientists and Engineers (RSEs), and to expand the pool of deep-tech technical talent who are engaged in I&E activities

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 Razer’s 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 team’s 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 AWS’s account manager and solution architect to discuss about the usage of the different AWS solutions and learn the best practices to implement them.

Pre-Requisites

  • Singaporeans or Singaporean Permanent Residents (PRs) who fit at least one of the following profiles:
  • Currently an RSE in a local Institute of Higher Learning (IHL) or A*STAR Research Institute;
  • Holds a Doctor of Philosophy (PhD) in a Science, Technology, Engineering and Mathematics (STEM)-related field;
  • Currently employed in the industry within a technical role with at least 3 years of full-time technical work experience, with a diploma, bachelor’s degree, master’s degree or PhD; OR
  • Currently employed in the industry within a business development role with at least 3 years of full-time business development work experience, with a background in STEM.
  • Demonstrated experience applying and showing an understanding of data mining, NLP and other machine learning algorithms used for classification, regression, clustering, etc.