Logo for Razer Inc.

[Career Fair] Data Scientist Intern

Roles & Responsibilities

  • Proficiency in Python and familiarity with object-oriented programming
  • Familiarity with Large Language Models (LLMs) including utilization, limitations, and evaluation techniques
  • Excellent verbal and written communication skills to collaborate effectively with technical and non-technical stakeholders
  • Experience using GitHub for version control, issue tracking, pull requests, code reviews, and collaborative development workflows

Requirements:

  • Collaborate with cross-functional teams to prototype, iterate, and deploy AI-driven solutions
  • Perform discovery and research to enhance application performance
  • Implement unit tests for independent modules and services
  • Document methodologies and codebase for knowledge sharing and collaboration

Job description

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 :

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 :

We are looking for a Data Scientist Intern to support the building of AI applications through code optimization, algorithm research, and algorithm development. This role is ideal for candidates who are passionate about translating cutting-edge AI research into scalable, real-world products—with a particular interest in enhancing experiences for gamers.

You will collaborate closely with cross-functional teams across AI, data engineering, product development, and marketing to design, prototype, and deploy intelligent systems that drive user engagement and business impact. This is a unique opportunity to contribute meaningfully to AI product innovation in a dynamic, fast-paced environment.

Key responsibilities:

  • Perform discovery and research to enhance application performance
  • Quantify implementation choices with product or business-related considerations
  • Implement unit tests for independent modules and services
  • Collaborate with cross-functional teams to prototype, iterate, and deploy AI-driven solutions
  • Contribute to codebases using version control best practices via GitHub
  • Documentation of methodologies and codebase for knowledge sharing, general understanding and collaboration

    Pre-Requisites :

    What we are looking for:

    • Proficiency in Python and familiarity with Object Oriented Programming
    • Familiarity with Large Language Models (LLMs) — including their utilization, common limitations,
    • and evaluation techniques
    • Understanding of context and memory management in LLMs and/or agentic workflows
    • Excellent verbal and written communication skills to collaborate effectively with both technical
    • and non-technical stakeholders
    • Experience using GitHub for version control, issue tracking, pull requests, code reviews, and
    • collaborative development workflows
    • Passion for gaming
    • Comfortable working in fast-paced, high-pressure, agile environment

    What will set you apart from others:

    • Hands-on experience with databases such as PostgreSQL, Redis, and Neo4j
    • Familiarity with messaging services/protocols like HTTP, MQTT, and AMQP
    • Understanding of or experience developing stateless systems

    Qualifications:

    • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline

    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?

    Data Scientist Related jobs

    Other jobs at Razer Inc.

    We help you get seen. Not ignored.

    We help you get seen faster — by the right people.

    🚀

    Auto-Apply

    We apply for you — automatically and instantly.

    Save time, skip forms, and stay on top of every opportunity. Because you can't get seen if you're not in the race.

    AI Match Feedback

    Know your real match before you apply.

    Get a detailed AI assessment of your profile against each job posting. Because getting seen starts with passing the filters.

    Upgrade to Premium. Apply smarter and get noticed.

    Upgrade to Premium

    Join thousands of professionals who got noticed and hired faster.