Senior Analyst, Data Science (Machine Learning), Office of Insights & Analytics

Singapore National Eye Centre; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

An established industry player is on the lookout for a Senior Analyst in Data Science specializing in Machine Learning. This role is pivotal in transforming data into actionable insights that enhance healthcare services. You will be at the forefront of developing and implementing innovative analytical models while collaborating with various stakeholders to tackle complex business challenges. Your expertise in machine learning operations and generative AI will drive impactful solutions in clinical services, finance, and operations. Join a dynamic team where your contributions can significantly improve healthcare outcomes and make a real difference in people's lives.

Qualifications

• 3-5 years of experience in machine learning and data analytics.
• Strong programming skills in Python or R.

Responsibilities

• Extract, process, and analyze data for healthcare solutions.
• Drive end-to-end Machine Learning Operations pipeline.

Skills

Machine Learning

Data Analytics

Python

R

Deep Learning Techniques

Problem-Solving Skills

Collaboration Skills

Education

Bachelor's Degree in Computer Science

Master’s Degree in related fields

Tools

TensorFlow

PyTorch

Generative AI frameworks

Job description

We are seeking a Senior Analyst in Data Science (Machine Learning) to join our Office of Insights and Analytics. In this role, you will be responsible for extracting, processing, and analysing data, as well as developing and implementing analytical models to deliver efficient and effective healthcare solutions.

You will design solutions that address the organisation's challenges using data manipulation and techniques in Data Science, Machine Learning, and Artificial Intelligence. Your role involves driving the end-to-end Machine Learning Operations pipeline, ensuring that solutions are validated and tested using best practices of test-driven development, and deployed with model monitoring and continuous re-training/integration to benefit users and make a significant impact.

Collaborating with stakeholders, you will frame and scope business problems and build data analytics capabilities across various domains, including clinical services, finance, and operations. Additionally, you will conduct feasibility studies, lead translational research projects as required, and facilitate regular key management meetings and reporting.

Job Requirements

• A Bachelor's Degree in Computer Science, Data Science, Engineering, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Operation Research, or related fields. A Master’s Degree is an added advantage.
• 3 - 5 years of relevant working experience preferably in machine learning and data analytics.
• Experience in collaborating with business and technology stakeholders in ensuring data products development and utilisation.
• Experience in delivering Generative AI solutions, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
• Strong programming skills in Python, R, or similar languages.
• Experience with AI frameworks such as TensorFlow, PyTorch, or similar.
• Experience with Generative AI frameworks such as GPT-3, DALL-E, or similar.
• Knowledge of statistical methods and data analysis techniques.
• Good knowledge of healthcare data standards and regulatory requirements.
• Team player with strong collaboration and problem-solving skills with attention to details.
• Independent worker with the initiative to complete tasks and projects.