Information Technology - Junior/Senior Data Scientist (Beijing)

Job Description

The working location for this role is based in Beijing, China. 

Singapore Airlines is recruiting multiple junior and senior data scientists to drive the company's development in artificial intelligence, data science, and business analytics. 

Key Responsibilities: 

• As a member of the company's internal AI and data science development team, participate in work related to AI (including Generative AI, autonomous agents, Natural Language Processing, Computer Vision, and Recommendation Systems), mathematical optimization, and experimental design. 
• Work closely with business departments to develop impactful AI, data science, and data analytics intelligent features/services. Propose and build scalable machine learning/deep learning solutions, deploying them as API microservices for use by software applications and business users to enable faster, more effective decision-making. 
• Assist business users in evaluating/validating predictive models provided by partners and support their deployment to production cloud environments. 
• Collaborate closely with application development teams to implement AI/ML features as API microservices and integrate them. 

Requirements

• Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related fields. Ph.D. or Master's degree in Machine Learning and other AI disciplines is preferred. 
• Intermediate Python programming skills, familiarity with algorithm design/analysis, data structures, and SQL. Understanding of functional/object-oriented software development using modern programming languages. 
• At least 2 years (junior) / 4 years (senior) of industry experience in traditional and deep machine learning. 
• Ability to use the latest proprietary/open-source large language models through prompt engineering. Familiarity with LLM application/data frameworks. 
• Experience with GPU-accelerated deep learning frameworks such as PyTorch and MLX. 
• Practical experience with AWS, Azure, GCP, or other public cloud environments. 
• Good interpersonal and communication skills, able to communicate effectively with both technical personnel and non-technical business users. 
• Proficient English reading, writing, and communication skills are required. 
• The following additional experiences would be a plus: 
  • Familiarity with Bayesian statistics/inference and the application of Bayesian/causal networks in probabilistic reasoning. 
  • Practical experience with Agile/Scrum/Kanban development methodologies. 

We appreciate all applicants' interest. Due to the multiple stages in the recruitment process, we will only notify candidates who pass the initial selection.