Senior Data Scientist

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 in Razer Gold role will focus on designing and developing advanced AIML/GenAI solution and play a key role in the Razer Gold Data Scientist team. The ideal candidate will have strong expertise in machine learning, deep learning, LLM fine-tune, Generative AI agents, and Retrieval-Augmented Generation (RAG). This role involves working closely with AI engineers, data engineers, and product managers and various business stakeholders to build advanced AIML/GenAI solutions .

This Senior Data Scientist in Razer Gold role will focus on designing and developing advanced AIML/GenAI solution and play a key role in the Razer Gold Data Scientist team. The ideal candidate will have strong expertise in machine learning, deep learning, LLM fine-tune, Generative AI agents, and Retrieval-Augmented Generation (RAG). This role involves working closely with AI engineers, data engineers, and product managers and various business stakeholders to build advanced AIML/GenAI solutions .

Job responsibilities

• Translate business needs/problems into well-defined AIML/GenAI solution designs.

• Develop AIML/GenAI solutions, including data preparation, model training, optimization and evaluation.

• Apply latest GenAI related technologies and aim at intelligent process automation and efficiency gains for Razer Gold business.

• Collaborate with engineering teams to build robust AI solutions pipeline and deploy AIML/GenAI solutions.

• Participate in the design, development and implementation of Razer Gold AI-powered products/solutions/platform.

• Communicate complex data findings/insights by AI-driven solutions to business leaders and technical teams.

• Relevant exposure to fraud and financial crimes compliance AI initiatives would be preferred."

Technical Skills

• Proficiency in programming languages commonly used in data science such as Python, SQL.

• Proficiency in Python and experience with PyTorch or TensorFlow for deep learning.

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

• Familiar with AIML/GenAI frameworks.

• Experience of prompting engineering, LLM fine-tune/evaluation, RAG system, Agentic AI, MCP andreinforcement learning.

• Experience with cloud data platforms and cloud-based AI deployment (AWS, GCP, or Azure).

• Experience with big data technologies like Spark, Hadoop, or distributed computing frameworks.

• Experience of handling large-scale structured and unstructured data.

Education background & Experience:

• Master's or PHD degree in Computer Science, Artificial Intelligence, Data Science, Machine learning or related Fields.

• 2+ years of working experience in GenAI/AIML learning domain.

• Working experience in fintech, payments, or fraud detection domain is a plus.

• Strong problem-solving skills and communication skills, with the ability to work cross-functionally and influence stakeholders.

Pre-Requisites :

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?