Data Scientist (MRG)

USER Experience Researchers; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading technology consultancy in Singapore is seeking a skilled Data Scientist to engage in model development, product feature engineering, and user collaboration. The candidate should have a Bachelor's degree and at least 2-3 years of experience in Data Science, along with strong programming skills in Python and familiarity with ML frameworks. Ideal candidates will thrive in a collaborative Agile environment.

Qualifications

• 2-3 years of relevant professional experience in Data Science or ML.
• Hands-on experience in model development and experimentation.
• Working knowledge of backend development and REST APIs.
• Familiarity with privacy-enhancing technologies is a plus.

Responsibilities

• Design experiments to evaluate SDG models and tune hyperparameters.
• Collaborate with software engineers on product features requiring ML input.
• Work with users to diagnose issues and provide actionable fixes.
• Write user-facing documentation for complex technical concepts.
• Work closely with SWE team to integrate features into production.
• Participate in Agile rituals and code reviews.

Skills

Machine learning

Python programming

Data Science

Model Development

Communication

Collaboration

Education

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

Tools

PyTorch

TensorFlow

scikit-learn

AWS

FastAPI

Flask

Job description

You will be involved in:

1. Model Development

• 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.

2. Feature & Product Development

• 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.

3. Diagnostics & Debugging

• 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.

4. Documentation & Knowledge Sharing

• 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.

5. Collaboration

• 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.

Requirements:

1. Bachelors degree or higher in Computer Science, Data Science, Business Analytics or a related field, with at least 2-3 years of relevant professional experience.

2. Core Data Science & ML skillset

• 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).
• Ability to analyze model behavior, diagnose training issues, and design experiments to improve performance.

3. Applied Research & Experimentation

• Familiarity with reading, synthesizing, and ability to translate emerging research into practical prototypes

4. Software Engineering

• Working knowledge of backend development (REST APIs, FastAPI, Flask, or similar).
• Comfortable working with cloud environments (AWS preferred).
• Ability to debug and fix software-level issues when they affect ML workflows.
• Familiarity with Git, CI/CD, and collaborative coding best practices

5. Nice-to-Haves

• Experience with privacy-enhancing technologies, anonymisation, synthetic data generation or differential privacy.
• Familiarity with frontend integration workflows (Next.js/React).
• Prior experience working in multi-disciplinary product teams.

6. Mindset & Collaboration

• Curiosity and willingness to learn new domains (esp. data privacy).
• Strong communication skills to explain technical concepts to both engineers and non-technical stakeholders.
• Inclination to work in a collaborative, fast-moving Agile environment