Data Scientist (PET)

SAVANT INFOTECH SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A technology solutions provider in Singapore is seeking a Data Scientist to conduct research on privacy solutions and implement scalable frameworks. The ideal candidate will have a Bachelor's degree in Data Science or a related field and possess strong skills in machine learning and Python programming. Responsibilities include collaborating with agencies to develop effective solutions addressing privacy challenges. The role requires a curiosity for learning and strong communication skills to work within an Agile environment.

Qualifications

• 2–3 years of relevant professional experience.
• Strong foundation in machine learning with hands-on experience.
• Demonstrated ability to validate hypotheses through rigorous experiments.

Responsibilities

• Conduct research and experiment on privacy solutions.
• Collaborate with agencies to address privacy challenges.
• Develop scalable solutions and adoption frameworks for new technologies.

Skills

Machine learning

Python programming

Model development

Critical evaluation of research

Agile collaboration

Education

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

Tools

PyTorch

TensorFlow

scikit-learn

Job description

We are seeking a Data Scientist to: (a) Conduct rigorous research and experimentation to evaluate emerging privacy solutions, (b) Design scalable, implementable workflows, and (c) Create comprehensive guidelines and frameworks that enable successful deployment of PETs.

Job Scope

You will be involved in:

1. Applied Research & Development
   1. Design and execute rigorous experiments
   2. Develop proof‑of‑concepts
   3. Stay current with academic research and translate findings into practical, deployable solutions
   4. Contribute to the broader community through publications and knowledge sharing
2. Agency Partnership & Pilot Implementation
   1. Collaborate directly with agencies to deeply understand their unique privacy challenges and operational constraints
   2. Design and execute pilot programmes
   3. Systematically gather user feedback
   4. Provide ongoing technical consultation and hands‑on support to agencies throughout the adoption journey
3. End-to-End Solution Innovation & Development
   1. Identify opportunities where PETs can address current common data challenges
   2. Architect and develop scalable solutions designed for widespread adoption
   3. Establish clear implementation pathways and adoption frameworks for new privacy technologies

Requirements

1. 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.
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 extensive experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit‑learn).
   • Ability to analyze model behavior, diagnose training issues, and design experiments to optimise performance and reliability.
3. Applied Research & Experimentation
   • Demonstrated ability to read, synthesise, and critically evaluate academic research papers and technical literature.
   • Experience designing and conducting rigorous experiments to validate hypotheses and measure solution effectiveness.
   • Comfort working with ambiguous problems and developing novel approaches to complex challenges.
4. Nice‑to‑Haves
   • Experience with privacy‑enhancing technologies, including but not limited to anonymisation, synthetic data generation or differential privacy.
   • Familiarity with frontend integration workflows (Next.js/React).
   • Prior experience working in multi‑disciplinary teams.
5. 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.
   • Strong in communication with the ability to explain complex technical concepts clearly to diverse audiences.

P/s: Pls note selection process as follows,
a) 180min Coding Test
b) 1h Virtual Interview
c) Take‑home assignment, to be discussed onsite with the product team