Data Scientist

NSEARCH GLOBAL PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading data solutions company in Singapore is seeking a Data Scientist to evaluate and enhance machine learning models. The ideal candidate will have a strong background in model development, experience with Python and ML frameworks, and the ability to work collaboratively with engineering teams. This position offers an opportunity to work on innovative projects and develop effective data solutions.

Qualifications

• 2-3 years of relevant professional experience in data science.
• Strong foundation in machine learning with hands-on experience.
• Ability to analyze model behavior and design experiments.

Responsibilities

• Design and conduct experiments to evaluate ML models.
• Investigate failure cases and tune hyperparameters.
• Collaborate with software engineers on product features.

Skills

Machine learning

Python

Model development

Experimentation

Backend development

Education

Bachelor’s degree in Computer Science or related field

Tools

PyTorch

TensorFlow

scikit-learn

AWS

Job description

Our client, one of Asia‑Pacific’s leading organizations is looking for:

Data Scientist

Scope of Work

• Design and conduct experiments to evaluate emerging SDG models (e.g., DDPM, ARF, Gaussian Copula).
• Investigate failure cases (e.g., when models fail with certain data types, size, or cardinality).
• Tune hyperparameters, refine architectures, and propose new modeling strategies.
• Collaborate with software engineers to build product features that require ML/DS input (e.g., imputation methods, handling of constraints, preprocessing pipelines).
• Recommend and develop suitable approaches for features like single‑/multi‑column constraints, imputation strategies, and privacy metrics.
• Work directly with users and the engineering team to diagnose user issues with training failures, poor outputs, or integration challenges.
• Provide actionable fixes and communicate technical insights in a user‑friendly way.
• Work closely with the SWE team (Next.js, FastAPI, AWS) to integrate the generation engine into production‑ready systems.
• Participate in Agile rituals, code reviews, and design discussions.

Qualifications

• Bachelor’s degree or higher in Computer Science, Data Science, Business Analytics or a related field, with at least 2-3 years of relevant professional experience.
• Strong foundation in machine learning, with hands‑on experience in model development and experimentation.
• Strong programming proficiency in Python and extensive experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit‑learn).
• Ability to analyze model behavior, diagnose training issues, and design experiments to optimise performance and reliability.
• Working knowledge of backend development (REST APIs, FastAPI, Flask, or similar).
• Comfortable working with cloud environments (AWS preferred).

Interested applicants can also email CV at [e-mail] (for faster processing, please state the exact job / position title applied “Data Scientist”).

Only shortlisted candidates will be notified.

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