Data Scientist

1 week ago


Singapore Quess Corp Limited Full time
Job title- Data ScientistWork location- SingaporeJob mode- 12 months renewable contractSalary- Competitive
Roles & Responsibilities:
  • Work on data science and analytics challenges and use cases of Launchpad projects or PoCs
  • Create or improve services, processes and offerings, by using state-of-the-art machine learning, advanced analytics and artificial intelligence techniques
  • Support the Lead Data Scientist in end-to-end delivery of machine learning and data science projects including business communication and requirements gathering
  • Take a hands-on approach towards innovation, developing new analytics models to leverage data that can demonstrate business value – data integration and exploration, visualization and interpretation of results
  • Exhibit a try fast, fail fast attitude with a growth mindset that empowers experimentation.
  • Good modelling background including but not limited to classification, clustering, recommendation systems, deep learning, reinforcement learning, natural language processing etc.
  • Collaborate closely with data owners to ensure the technical execution is aligned with general technical guideline and guardrail.
Key Requirements:
  • Bachelors/Masters Degree/ PHd in fields related to Data Science/Mathematics/Applied Statistics/Machine Learning is preferred
  • Minimum 1-3 years of experience (professional or academic) in Data Science and Analytics areas
  • Ability to work within a high degree of uncertainty and ambiguity or problem statements, able to break them down and define how to leverage data to achieve desired outcomes.
  • Deep understanding on application design/development and engineering best practices
  • Programming experience in some of Python, PySpark, SAS, SQL, etc.
  • Candidates preferred with exposure to Data / Machine Learning / Artificial Intelligence / Blockchain, as well as exposure/passion in disruptive business models and new technologies
  • Ability to deconstruct and optimize Deep Learning Architectures
  • Hands-on experience creating production-ready/deployable models
  • Experience working with platforms such as Linux, Docker and Kubernetes
  • Experience working in startups, incubators, VCs or similar entrepreneurial roles, opensource contributions is a plus

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