Toa Payoh - Data Scientist

Job Responsibilities:

• Conduct research on computer vision, deep learning and AI problems
• Build prototype applications in various AI domains such as computer vision, self-supervised learning, multi-modality learning etc
• Work closely with a team of scientists and researchers to concept and iterate on software development
• Develop and deploy data science prototypes, with a focus on bringing machine learning models into production
• Design and implement scalable and high-performance machine learning models, with a focus on troubleshooting performance and accuracy issues
• Collaborate with technical and non-technical teams locally and overseas, and present proof of concepts to stakeholders effectively
• Build data cleaning and augmentation pipelines for both machine learning and deep learning model-based projects
• Automate processes and workflows for efficient delivery of data science products via scripting and open source tools
• Stay updated with the latest advancements in data science, machine learning, and deployment techniques through independent research and open source tools and libraries

Skills and Experience:

• Graduate Degree or above in Engineering or Sciences
• At least 2 years of relevant experience
• Experience in real-world data science projects, internships, hackathons, and personal projects
• Expertise in Python programming and using libraries for data processing, visualization, and model development, including pandas, numpy, scikit-learn, matplotlib, and seaborn
• Proficient in API concepts and libraries, and experienced in utilizing them for testing and deployment, leveraging frameworks such as Flask, Django, or FastAPI
• Familiar with databases (e.g., PostgreSQL, Minio) and SQL for data storage and retrieval
• Understand HTML/CSS/Javascript and have experience in front-end JavaScript frameworks such as Angular or React to design web interfaces for data science prototypes and deploy them

• Excellent communication and collaboration skills.
• Solid analytical and problem-solving abilities.
• Intellectual with desire to continuous learning
• Organised, high attention to detail and accuracy.
• Resourceful, positive, and solution-oriented attitude with problem solving skills and a ‘can do’ approach.
• Adaptable and able to support a wide spectrum of topics/activities as necessary.
• Open and passionate about new technologies and innovations
• Customer oriented and able to establish link between R&D, innovations, and applications in business.
• Comfortable to work on project site – Locally and overseas.
• Excellent team player with good interpersonal and communication skills (verbal and written) to function effectively in a multi-cultural environment.
• Able to work independently with minimal supervision.
• Able to handle multiple assignments without losing oversight in a timely manner.