Req ID:  342
Location: 

Singapore

Date:  13-Sep-2022

Data Scientist

Job Description

The Data Scientist will be responsible for building, expanding, and maintaining the Company’s algorithmic assets within one of the pillars of the Artificial Intelligence (AI) team. The incumbent needs to have a strong knowledge of AI/Data Science concepts and for building various data science models independently and providing expertise to other teammates. Working closely on a variety of business cases the incumbent will help generate significant and recurrent returns from the algorithms in place and explore new use cases and develop new AI capabilities. 

Essential Job Duties and Responsibilities: 

  • Grow the organisation’s AI capability around forecasting, personalization and optimisation 
  • Identify business opportunities, solve problems, and translate technical concepts into clear and actionable insights for business and enterprise leaders. 
  • Help conduct trainings, educate stakeholders, and hold workshops to build up in-house data science capabilities. 
  • Lead projects to achieve business objectives, taking ownership of end-to-end model development and deployment. 
  • Lead and guide machine learning engineers to maintain the model pipeline and to deliver model outcomes timely 
  • This role will require end-to-end development of AI models, including deploying it into production.
     

Key Requirements

  • Bachelor/Masters in computer science, data science, statistics, mathematics, or equivalent fields.
  • 2 to 4 years of working experience 
  • Knowledge in deploying end-to-end ML/AI solution in the cloud.
  • Strong knowledge in data science concepts and programming languages such as SQL, python and java preferred.
  • Strong understanding and implementation experience of forecasting, personalization, and optimization 
  • Vast analytical problem-solving capabilities & experience. 
  • Passionate about new technologies and self-motivated. 
  • Excellent written, verbal communication skills and adept at engaging various stakeholders. 
  • Expert in manipulating data sets with structured and unstructured data. 
  • Experience in using machine learning libraries such as Scikit-learn, Tensorflow, Keras, Pytorch, etc. 
  • Experience in deploying production level ML solution in the cloud. Strong understanding of cloud data infrastructure technologies (e.g. Databases, Spark, Tensorflow, etc). 

DFS is an equal opportunity employer. It is the Company’s policy and practice to employ, promote and treat all employees and applicants on the basis of merit, qualifications and competency and to provide all employees with a workplace that is free of discrimination. Employment decisions are based on qualifications such as education, work experience and talent, and are made without regard to race, color, gender, religion, age, national origin, marital status, sexual orientation, disability or any other basis protected by law.