Data Scientist

RAPSYS TECHNOLOGIES PTE LTD; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A technology company in Singapore is seeking a Data Scientist to leverage data for business insights and optimize processes. The ideal candidate must have a degree in Computer Science or a related field and at least 2-3 years of experience. Strong skills in machine learning and Python are essential. This is an on-site position, contributing to strategic decision-making and innovation.

Qualifications

• 2-3 years of relevant professional experience in data science.
• Experience in analyzing model behavior and designing experiments.
• Ability to translate research into practical prototypes.

Skills

Machine learning foundation

Strong programming in Python

Model development and experimentation

Familiarity with ML frameworks

Backend development knowledge

Cloud environments experience

Git and CI/CD familiarity

Education

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

Job description

🌟 We're Hiring: Data Scientist! 🌟

We are looking for an analytical and innovative Data Scientist to join our team in Singapore. The ideal candidate will leverage data to drive business insights, optimize processes, and contribute to strategic decision-making.

📍 Location: Singapore, Singapore

⏰ Work Mode: Work From Office

💼 Role: Data Scientist

What We’re Looking For

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.

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.

Applied Research & Experimentation

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

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.

Ready to make an impact? 🚀 Apply now and let’s grow together!