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 seeking an experienced Sustainability Data Scientist with a strong domain knowledge in the field of Environmental, Social and Governance (ESG) specialization, while having an expertise in field of Generative Artificial Intelligence (Gen AI) technology to join our team. This candidate will be playing a crucial role in analyzing and interpreting data related to environmental impact, energy consumption, and social responsibility, while utilizing Gen AI capabilities to build ESG AI products.

Essential Duties and Responsibilities

Design, implement, and optimize data pipelines to ensure efficient data ingestion, storage, and processing for Gen AI tools, ensuring data quality, consistency, and relevance, via cloud computing technology.
Ensure data quality and integrity throughout the pipeline, implementing appropriate data validation and cleansing techniques for data related to sustainability metrics, energy usage, emissions, and waste.
Source and building relevant, credible data for database and carbon footprint assessment, while ensuring that they are compliant with reporting requirments.
Build Gen AI applications / products using various Retrieval Augmentation Generation (RAG) techniques, fine tuning LLMs, while ensuring the performance and efficiency of Gen AI applications.
Evaluate model performance, perform relevant AB tests, and continuously improve accuracy, efficiency, and scalability.
Collaborate with data engineers and analysts, product managers to understand project requirements, deliver AI solutions, and support the integration of AI models into scalable production systems.
Stay up-to-date with industry trends and emerging technologies in data science, Gen AI, ESG and identify opportunities to apply these advances to improve existing projects.

Requirements

Ability to work in fast paced, high pressure, agile environment.
Ability and willingness to learn any new technologies and apply them at work in order to stay ahead.
Strong in programming languages such as Python, SQL.
Experience in developing and deploying applications running on cloud infrastructure such as AWS, Azure or Google Cloud Platform using Infrastructure as code tools such as Terraform, containerization tools like Dockers.
Experience using orchestration tools like Airflow or Prefect, distributed computing framework like Spark or Dask.
In-depth knowledge of machine learning techniques, Gen AI applications, LLMs, sustainable practices, carbon reduction efforts, carbon footprint assessment.
Proficiency in working with large-scale datasets, data preprocessing, LLMs fine-tuning, model evaluation, prompt engineering and RAG techniques.
Excellent problem-solving and analytical skills, with the ability to translate complex business problems into actionable insights.
Excellent written and verbal communication skills for coordinating across teams.
Has a Bachelor's, Master’s or PhD degree in computer science or similar discipline.
2 years of experience in AI and data science, with a strong focus on Gen AI and ESG domain.

Pre-Requisites :

Are you game?

Razer

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Sustainability Data Scientist