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Urgent! Data Scientist (Backend & ML Integration) Job Opening In Singapore, Singapore – Now Hiring Certis Integrated Services

Data Scientist (Backend & ML Integration)



Job description

Overview

We are looking for a Data Scientist to join a product team focused on advancing a cutting-edge Synthetic Data Generation (SDG) engine.

This role sits at the intersection of machine learning, applied research, and software engineering, contributing to a product that enables safe data sharing and analytics across sectors.

Responsibilities

  • Designing and experimenting with SDG models (e.g., DDPM, ARF, Gaussian Copula).

  • Diagnosing model failures and improving performance through tuning and architecture refinement.

  • Collaborating with software engineers to build ML-powered product features (e.g., imputation, constraints handling).

  • Supporting users by troubleshooting training issues and providing actionable fixes.

  • Writing clear, user-friendly documentation to explain technical concepts and model behavior.

  • Working closely with the engineering team to integrate ML models into production systems.

  • Participating in Agile rituals, code reviews, and design discussions.

  • Translating research into practical prototypes and contributing to technical strategy.

What Are We Looking For?

We’re seeking a curious and collaborative Data Scientist with:

  • A Bachelor’s degree or higher in Computer Science, Data Science, Business Analytics, or related field.

  • 2–3 years of hands-on experience in machine learning and data science.

  • Strong Python programming skills and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).

  • Ability to analyze model behavior, debug training issues, and design experiments.

  • Experience in backend development (e.g., FastAPI, Flask) and cloud environments (AWS preferred).

  • Familiarity with Git, CI/CD, and collaborative coding practices.

  • Ability to read and apply emerging research to real-world problems.

  • Strong communication skills to explain technical concepts to diverse stakeholders.

  • A collaborative mindset and willingness to learn new domains, especially in data privacy.

Nice-to-Haves

  • Experience with privacy-enhancing technologies, synthetic data, or differential privacy.

  • Familiarity with frontend frameworks (e.g., Next.js/React).

  • Prior experience in multi-disciplinary product teams.

Additional Information

We regret that only shortlisted candidates will be notified.

Thank you.

By submitting your resume, you consent to the handling of your personal data in accordance with Certis Group Privacy Policy (

Seniority level

  • Mid-Senior level

Employment type

  • Contract

Job function

  • Science

Industries

  • Human Resources

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Required Skill Profession

Database, Analytics & Bi



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