Data Scientist Intern

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/ 工作职责 :

Razer Gold aims to become the world’s leading payment service provider for games and digital content. As our business grows to meet the needs of gamers globally, we are looking for an intern software engineer to join our team and fulfil the needs of our gamer customer base.

As an Data Scientist Intern in Razer Gold, you will participate in the AIML/GenAI solution development and play a key role in the Razer Gold Data Scientist team. You will be reporting to the Data Scientist manager in Razer Gold and working very closely with engineering functions, product managers and various business stakeholders for AIML/GenAI solutions.

Key Responsibilities:

• Participate in the design and implementation of Razer Gold AI related products/solutions/platform.

• Understand business needs/problems and translate them into well-defined AIML/GenAI solution designs.

• Collaborate with engineering teams to build, configure, and test environments and pipelines for AIML/GenAI solutions development and deployment.

• Leverage latest Agentic AI techniques to develop Agentic AI/GenAI prototype solutions aimed at intelligent process automation and efficiency gains.

• Under guidance of senior data scientists, build AIML models/solutions, including data preparation, model training, optimization and evaluation.

Key Qualifications:

Educational Background: Master's degree in Computer Science, Data Science, Mathematics, Statistics or other related fields.

Technical Skills:

• Proficiency in programming languages commonly used in data engineering and data science (e.g., Python, SQL).

• Solid knowledge of machine learning/deep learning and Generative AI.

• Familiar AIML/GenAI frameworks (e.g. Scikit-learn, PyTorch, TensorFlow).

• Familiar with prompting engineering, LLM finetune, evaluation and RAG system.

• Hands-on academic or project-based experience with AIML/GenAI frameworks.

• Familiarity with cloud data platforms (e.g., AWS, GCP) and data warehousing solutions (e.g., Redshift, BigQuery) is a plus.

Analytical Skills: Self-motivated, solid problem-solving skills, with a focus on translating data into actionable business insights.

Communication: Ability to clearly explain complex data findings and technical concepts to non-technical stakeholders.

Collaboration: Comfortable working in a team environment and taking ownership of end-to-end projects from design to deployment.

Pre-Requisites/ 任职要求 :

Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.

Are you game?