Data Scientist

eAspire Technolabs Inc.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading technology firm in Singapore seeks a skilled professional to design and execute experiments for evaluating privacy engineering solutions. The ideal candidate holds a degree in Computer Science or a related field and has experience with machine learning, Python, and ML frameworks. Responsibilities include collaborating with government agencies and translating academic research into deployable solutions, requiring strong communication skills and an applied ML mindset.

Qualifications

• 2-3 years relevant experience in machine learning and research.
• Strong machine learning foundation with model development experience.
• Demonstrated ability to read and evaluate research papers.

Responsibilities

• Design and execute experiments to evaluate privacy solutions.
• Translate academic research into deployable solutions.
• Partner with government agencies to run pilot programmes.

Skills

Machine learning

Python

Technical consultation

Collaboration

Agile communication

Education

Bachelor’s degree in Computer Science, Data Science, Business Analytics or related field

Tools

PyTorch

TensorFlow

scikit-learn

Next.js

React

Job description

Key Responsibilities

• Design and execute experiments to evaluate PETs and privacy solutions; develop proof-of-concepts.
• Translate academic research into deployable solutions; contribute to publications and knowledge sharing.
• Partner with government agencies to understand privacy challenges and run pilot programmes.
• Provide technical consultation and iterate solutions based on deployment feedback.
• Develop scalable solutions and adoption frameworks for wider Whole-of-Government use.
• Collaborate with data scientists, data engineers, software engineers and product managers.

Key Requirements

• Bachelor’s degree (or higher) in Computer Science, Data Science, Business Analytics or related field; 2-3 years relevant experience.
• Strong machine learning foundation with hands‑on model development and experimentation.
• Strong Python skills and experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
• Ability to diagnose training issues and design experiments to optimise performance and reliability.
• Demonstrated ability to read, synthesise and critically evaluate research papers.
• Comfort working with ambiguous problems; strong communication skills in Agile environments.
• Nice‑to‑have: PETs experience (anonymisation, synthetic data, differential privacy), Next.js/React familiarity.

Notes / Sourcing Considerations

• Look for candidates with applied ML + research mindset and ability to work with public sector stakeholders.
• Emphasise privacy engineering / PETs exposure as a differentiator, but not mandatory.