Data Scientist Intern - Personalization

Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities :

The Data Scientist Intern will play a critical role in refining and enhancing Razer’s recommendation engine and A/B testing platform, which impact millions of users on a daily basis. This position is ideal for candidates with a passion for data-driven decision making, machine learning, and statistical analysis. The intern will work alongside other data scientists and engineers to develop and deploy recommendation solutions that contribute to the sale of Razer products and robust A/B testing methodologies.

This role is part of the Big Data team which empowers data-driven solutions to generate organizational value.

Learning Objectives

• Participate in the full development cycle of AI-driven solutions, from conceptualization to deployment.

• Acquire hands-on experience in advanced machine learning techniques and statistical analysis for large-scale data.

• Collaborate closely with cross-functional teams to integrate AI technology that meets business needs.

Learning Outcome

• Industry practices and essentials to writing clean code in Python and SQL.

• Comprehensive understanding of experiment design and statistical analysis in a business context.

• Collaborate closely with other data scientists to gather knowledge on AI projects using LLMs.

• Handle all aspects of ML model development (Data wrangling, feature engineering, model exploration / selection, training, offline evaluation, planning A/B experimentation & deploying to production) – AWS personalize, Airflow

• Using AWS SDK to build scalable solutions on the cloud and Infrastructure as code – Terraform

Pre-requisites:

• Passion and interest in using Data Science to drive business impact.

• Strong foundational understanding of ML fundamentals and core concepts / architectures.

• Hands-on experience of solving multiple problems in academic / industry, leveraging machine learning and deep learning.

• Proficiency in Python, SQL and experience with common machine learning frameworks and libraries (e.g. TensorFlow, Keras, Sklearn)

• Diligent and reliable, with excellent analytical skills, communication skills, and teamwork

• Experience with cloud technologies (Amazon Web Services, Google Cloud Platform)

Pre-Requisites :

Are you game?