Data Scientist

Key Responsibilities:

• Facilitate discussions with stakeholders to understand their business challenges, sharpen the business use cases and translate them into data science projects.
• Work with product owners, engineering teams, and industry partners throughout the product development lifecycle from concept, design, prototyping, acceptance testing, data curation, delivery, operationalisation, industry proliferation, to product end-of-life.
• Technical assessment on the maturity, viability, and suitability of AI research, technologies and trends that are relevant to the industry.
• Present findings, solicit feedback and prioritise refinements to the analysis in close iteration with stakeholders while managing overall project timeline.
• Participate in agile secure software development processes and best practices, documentation of user requirements and software codes during the software development lifecycle.
• Transfer technology to industry partners.
• Technical engagement and collaboration with research institutes and institutes of higher learning

Requirements:

• Postgraduate or Ph.D. Background in engineering, computer engineering, computer science, mathematics, statistics or equivalent
• Strong technical knowledge in AI, specifically in Computer Vision (CV), Natural Language Processing (NLP), recommendation system and/or Synthetic AI
• Good understanding of the latest research and technologies in AI for production, including deployment to mobile handsets and IOT devices
• Proficient in building machine learning models to identify, recognise patterns and make predictions
• Strong coding experience in programming languages such as Python, C++
• Hands-on experience with one or more deep learning frameworks, e.g., TensorFlow, Torch
• Experience in model deployment
• Experience in stakeholder management
• Experience in agile project management