Data Science Intern - Personalisation & Production ML

Razer Inc.; Singapore; On-site; SGD 17,000 - 22,000; Part time

Benefits offered by this job

Equal Opportunity Employer

Job summary

Razer Inc. invites a Data Scientist Intern (Personalisation) to join a global team working on production recommendation systems across Razer.com and related platforms.

You will collaborate with data scientists and engineers to improve personalisation, accelerate experimentation, and boost engagement and revenue. You will develop AI-driven recommendation systems, optimize feature engineering, run A/B tests, and enhance pipelines using Airflow and AWS.

Qualifications

• Hands-on ML project experience (academic or industry)
• Strong foundational understanding of ML fundamentals
• Proficiency in Python, SQL and ML frameworks
• Experience with cloud technologies (AWS, GCP, Azure) is advantageous

Responsibilities

• Develop and enhance AI-driven personalised recommendation systems.
• Leverage AI-assisted development tools for feature engineering, segmentation, and model prototyping.
• Design and analyse A/B tests and evaluate model performance.
• Enhance production pipelines using Airflow and AWS services.
• Support monitoring, debugging, and optimisation of deployed ML systems.
• Tackle real-world challenges like cold-start and revenue optimisation.

Skills

Python

SQL

ML frameworks

Airflow

AWS

Education

Pursuing degree in CS/Math/Statistics

Tools

TensorFlow

Keras

Scikit-learn

PyTorch

Job description

Razer Inc. invites a Data Scientist Intern (Personalisation) to join a global team working on production recommendation systems across Razer.com and related platforms.

You will collaborate with data scientists and engineers to improve personalisation, accelerate experimentation, and boost engagement and revenue. You will develop AI-driven recommendation systems, optimize feature engineering, run A/B tests, and enhance pipelines using Airflow and AWS.