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


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
#J-18808-Ljbffr

Required Skill Profession

Other General


  • Job Details

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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


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Are You Looking for Data Scientist (Backend & ML Integration) Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Certis Integrated Services adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

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Interview Tips for Data Scientist (Backend & ML Integration) Job Success

Certis Integrated Services interview tips for Data Scientist (Backend & ML Integration)

Here are some tips to help you prepare for and ace your Data Scientist (Backend & ML Integration) job interview:

Before the Interview:

Research: Learn about the Certis Integrated Services's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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