Information Technology - Data Scientist (Data Science Track)

Singapore Airlines; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Singapore Airlines is hiring for multiple positions for junior and senior data scientists dedicated to driving our AI, data science, and business analytics initiatives. The ideal candidates will play a crucial role in developing impactful AI solutions and collaborating with business stakeholders to deploy ML models effectively.

Applicants should have a BS in a relevant discipline, intermediate programming skills, and preferably industry experience in AI. Familiarity with cloud tools and big data processes will enhance your application. Join us to make significant contributions in the AI field!

Qualifications

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required.
• Intermediate programming skills in Python, with knowledge of SQL and algorithm design.
• Exposure to big data processing systems such as Spark and Kafka.

Responsibilities

• Develop AI and data science initiatives.
• Collaborate with stakeholders to create AI-driven features.
• Oversee external technology partners' work on AI projects.

Skills

Python programming

Data Analysis

Machine Learning

Deep Learning

Big Data processing

Education

BS in Computer Science or related discipline

PhD in AI-related fields

Tools

AWS

Azure

GCP

PyTorch

TensorFlow

Job description

Overview

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender systems), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:
• Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
• Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
• Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.
• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.