Principal Data scientist
NewbridgeSingapore, Singapore
Posted February 12, 2026
Full Time
About the Company
Newbridge is a leading executive search and consulting firm headquartered in Singapore with a regional office in Vietnam, serving multinationals, blue‑chip companies, and emerging startups across the Asia‑Pacific. The firm specializes in executive placement, board advisory, project hiring, and statement‑of‑work engagements, while also offering advanced technology solutions such as offshore talent delivery, talent‑on‑demand platforms, and blockchain services. By combining deep industry expertise with a flexible, tech‑enabled approach, Newbridge delivers tailored leadership solutions that accelerate growth and innovation for clients in a rapidly evolving market.
Job Description
We are seeking an exceptionally talented and innovative Machine Learning Scientist to join our client's advanced AI/ML research and development team.
Requirements
- Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a closely related quantitative field
- 5+ years of experience in applied machine learning research and development
- Expert proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch, JAX)
- Solid understanding of core ML concepts: supervised/unsupervised learning, reinforcement learning, deep learning architectures (e.g., Transformers, CNNs, RNNs), Bayesian methods, optimization techniques, and feature engineering
- Experience with large-scale data processing: Proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop) is essential
- Strong experimental design skills: Ability to set up and analyze A/B tests, understand statistical significance, and interpret results in a product context
- Excellent problem-solving skills: Ability to break down complex problems, identify root causes, and develop innovative solutions
- Exceptional communication skills: Ability to clearly articulate complex technical concepts and research findings to both technical and non-technical audiences
