Data Scientist

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

Job summary

A consulting firm in data science is seeking a Data Scientist to design and conduct experiments for evaluating machine learning models. Responsibilities include collaborating with engineers, diagnosing user issues, and writing documentation. Candidates should have a bachelor's degree in a related field and experience in machine learning with proficiency in Python. This is a hybrid position based in Punggol, offering a salary package of up to $8k.

Qualifications

• 2-3 years of relevant professional experience in data science or machine learning.
• Hands-on experience in model development and experimentation.
• Strong foundation in machine learning concepts.

Responsibilities

• Design and conduct experiments to evaluate SDG models.
• Investigate failure cases when models fail.
• Collaborate with software engineers to build product features.
• Translate technical concepts into clear explanations.
• Write user-facing documentation.

Skills

Machine learning

Python programming

Model development

Data Science concepts translation

Education

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

Tools

PyTorch

TensorFlow

scikit-learn

Job description

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 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).