Data Science Intern (Personalization)

Posted 2 Days Ago
Be an Early Applicant
Singapore
Internship
Gaming • Hardware
The Role
The Data Science Intern will enhance Razer’s recommendation engine and A/B testing platform, leveraging machine learning and statistical analysis. Key responsibilities include developing AI solutions, conducting A/B tests, and collaborating with data scientists and engineers to drive business impact through data-driven decisions.
Summary Generated by Built In

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?

Top Skills

Python
SQL
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The Company
1,383 Employees
On-site Workplace
Year Founded: 2005

What We Do

Razer™ is the world’s leading lifestyle brand for gamers.

The triple-headed snake trademark of Razer is one of the most recognized logos in the global gaming and esports communities.

With a fan base that spans every continent, the company has designed and built the world’s largest gamer-focused ecosystem of hardware, software and services.

Razer’s award-winning hardware includes high-performance gaming peripherals and Blade gaming laptops. Razer’s software platform, with over 70 million users, includes Razer Synapse (an Internet of Things platform), Razer Chroma™ (a proprietary RGB lighting technology system), and Razer Cortex (a game optimizer and launcher).

In services, Razer Gold is one of the world’s largest virtual credit services for gamers, and Razer Fintech is one of the largest online-to-offline digital payment networks in SE Asia.

Founded in 2005 and dual-headquartered in Irvine and Singapore, Razer has 18 offices worldwide and is recognized as the leading brand for gamers in the USA, Europe and China. Razer is listed on the Hong Kong Stock Exchange (Stock Code: 1337).

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