Data Science 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, deploy AI solutions contributing to the sale of Razer products and robust A/B testing methodologies.

  Requirements

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

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

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

• Proficiency in Python, SQL and experience with common ML/AI frameworks and libraries (e.g. TensorFlow, Keras, Sklearn, Langchain)

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

• Experience with AWS Cloud, Airflow, AB test tools
  Learning Objectives

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

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

• 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.

Pre-Requisites :

Are you game?