Data Scientist

SCIENTEC CONSULTING PTE. LTD.; Singapore; Hybrid; SGD 100,000 - 125,000; Part time

Job summary

A consulting firm in Singapore is seeking a Data Scientist to design experiments and collaborate on machine learning models. The ideal candidate holds a Bachelor's degree and has 2-3 years of experience, alongside strong Python skills and knowledge of ML frameworks such as PyTorch and TensorFlow. This role offers a hybrid working arrangement with a salary package of up to $8k.

Qualifications

• At least 2-3 years of relevant work experience.
• Strong hands-on experience in model development and experimentation.
• Experience with ML frameworks required.

Responsibilities

• Design and conduct experiments to evaluate emerging SDG models.
• Collaborate with engineering teams on product features.
• Provide user-facing documentation pages on models and metrics.

Skills

Machine learning

Programming in Python

Model development

Data Science concepts

Education

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

Tools

PyTorch

TensorFlow

scikit-learn

Job description

Overview

Working Hours: Monday – Thursday (8.30am – 6pm), Friday (8.30am – 5.30pm) (Hybrid working arrangement)

Working Location: Punggol

Salary Package: Up to $8k

Employment type: Contract

Responsibilities

• 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.
• Write user-facing documentation pages. This could include explaining model choice, hyperparameters, and utility/privacy metrics in a user-friendly manner.
• Translate complex technical Data Science concepts into clear, approachable explanations.
• Work closely with the SWE team (Next.js, FastAPI, AWS) to integrate generation engine into production-ready systems.
• Participate in Agile rituals, code reviews, and design discussions.

Requirements

• 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 experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.
• All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Wong Siew Ting (Maeve) - R25127375

ScienTec Consulting Pte Ltd - 11C5781