Senior Data Scientist

Razer is hiring a Senior Data Scientist in Singapore, Singapore. Level rates it ; you can apply on Razer.

Level's read on this job

Level rates this data scientist role Builds AI ●●●●: the job is building AI systems.
The posting mentions PyTorch, TensorFlow and RAG among its tools and skills.
Level classes it as a senior role.
Razer has 148 other open roles on Level.

AI in this role

pytorchtensorflow

ragai-agentsfine-tuningai-research

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 :

This Senior Data Scientist role will focus on designing and developing advanced AI-driven solutions for game developers and gamers. The ideal candidate will have strong expertise in Reinforcement Learning (RL), Generative AI agents, and Retrieval-Augmented Generation (RAG) to create intelligent gaming tools and experiences. This role involves working closely with AI engineers, game developers, and software engineers to build cutting-edge AI capabilities that enhance game mechanics, player engagement, and content generation.

Research, design, and implement rewards-based agents using Reinforcement Learning (RL) for testing gaming applications.
Develop and optimize agents and advanced RAG-based solutions for dynamic game content creation, adaptive player interactions, and enhanced gaming experiences.
Collaborate with game developers, designers, and software engineers to integrate AI models into game development workflows.
Build and optimize AI-powered gaming tools, enabling developers to create more immersive and dynamic player experiences.
Develop and fine-tune models to improve AI in gaming applications.
Analyze and preprocess game data, training AI models to adapt and improve in-game decision-making processes.
Stay updated on the latest advancements in AI for gaming, ensuring our solutions remain state-of-the-art.
Evaluate model performance and drift through experimentation and benchmarking, improving efficiency and scalability.
Assist in the deployment, monitoring, and maintenance of AI models in production environments.
Document findings, methodologies, and research for internal knowledge sharing and external publications, where applicable

Pre-Requisites :

Strong background in Reinforcement Learning (RL), Generative AI agents, and RAG (Retrieval-Augmented Generation).
Proficiency in Python and experience with PyTorch or TensorFlow for deep learning.
Experience with game engines such as Unity and Unreal Engine is a plus.
Familiarity with LLMs, transformers, diffusion models, and self-learning AI systems.
Experience in training and fine-tuning large-scale AI models.
Experience with cloud-based AI deployment (AWS, GCP, or Azure).
Strong problem-solving skills and ability to translate research into practical solutions.
Excellent verbal and written communication skills to collaborate with technical and non-technical teams.
Passion for gaming and an understanding of game mechanics, AI-driven storytelling, and player engagement strategies.

Education & Experience

Master’s or PhD in a relevant field (Computer Science, AI, Machine Learning, etc.).
1+ years of experience in AI research or applied machine learning, preferably in gaming or interactive media.

Travel Requirements

Role based in Singapore office, with occasional travel (up to 1 trip per year) for conferences, research collaborations, or business meetings.

Are you game?

How we rate this

Senior Data Scientist at Razer rates 99 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Data Scientist is an open job at Razer.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Singapore.
The job was posted on May 13, 2025.
Seniority: senior.
Applications are handled by Razer. Apply on Razer

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsFine-tuningAI ResearchPyTorchTensorFlow

Also common in data scientist jobs at this level

SQL Spark NLP scikit-learn MLOps LangChain

Pay

Typical data scientist job: $167k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
Tell me about a research question you investigated. What did you find?
Walk me through how you've used PyTorch in your day-to-day work.

Adapt your resume

List these exact terms on your resume: RAG, AI agents, Fine-tuning, AI Research, and PyTorch. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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