Data Scientist Intern

7 days ago

Queenstown, Singapore Razer (Asia-Pacific) Pte. Ltd Full time

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.

**Responsibilities**:
This role is part of the Big Data team which empowers data-driven solutions to generate organizational value.
**Learning Objectives**
- Participate in the full development cycle of AI-driven solutions, from conceptualization to deployment.
- Acquire hands-on experience in advanced machine learning techniques and statistical analysis for large-scale data.
- Collaborate closely with cross-functional teams to integrate AI technology that meets business needs.

**Learning Outcome**
- Industry practices and essentials to **writing clean code in Python and SQL**.
- Comprehensive understanding of **experiment design and statistical analysis** in a business context.
- Collaborate closely with other data scientists to gather knowledge on AI projects using LLMs.
- Handle all aspects of **ML model development** (Data wrangling, feature engineering, model exploration / selection, training, offline evaluation, planning A/B experimentation & deploying to production) - AWS personalize, Airflow
- Using AWS SDK to build scalable solutions on the cloud and Infrastructure as code - Terraform

**Pre-requisites**:

- Passion and interest in using Data Science to drive business impact.
- Strong foundational understanding of ML fundamentals and core concepts / architectures.
- Hands-on experience of solving multiple problems in academic / industry, leveraging machine learning and deep learning.
- Proficiency in Python, SQL and experience with common machine learning frameworks and libraries (e.g. TensorFlow, Keras, Sklearn)
- Diligent and reliable, with excellent analytical skills, communication skills, and teamwork
- Experience with cloud technologies (Amazon Web Services, Google Cloud Platform)

**Pre-Requisites**:
**Are you game?

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