Senior Data Scientist

ENCORA TECHNOLOGIES PTE. LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A technology solutions provider in Singapore seeks an experienced professional to develop and enhance machine learning models. Responsibilities include conducting experiments, collaborating with engineers for product features, and providing documentation. The ideal candidate has a degree in a related field and at least 7 years of experience in data science and software engineering.

Qualifications

• Bachelor’s degree or higher with at least 7 years of relevant experience.
• Hands-on experience in model development and experimentation.
• Familiarity with translating research into prototypes.

Responsibilities

• Design and conduct experiments to evaluate emerging SDG models.
• Collaborate with engineers to build product features.
• Write user-facing documentation in a clear manner.

Skills

Machine learning expertise

Python proficiency

Experiment design

Collaboration skills

Cloud environment experience

Strong communication

Education

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

Tools

PyTorch

TensorFlow

scikit-learn

FastAPI

Flask

AWS

Git

Job description

Job Scope

1. Model Development
   • Design and conduct experiments to evaluate emerging SDG modes (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 MUDS input (e.g., imputation methods, handling of constraints, preprocessing pipelines).
   • Recommend 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. Collaborationb>
   • 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. Education & Experience
   • Bachelor’s degree or higher in Computer Science, Data Science, Business Analytics or a related field, with at least 7 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, anonymization, 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.