Data Scientist

Posted 6 Days Ago
Be an Early Applicant
Singapore
Junior
Gaming • Hardware
The Role
The Data Scientist will develop machine learning solutions, optimize data pipelines, and enhance AI capabilities to drive data-centric decisions.
Summary Generated by Built In

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 role is responsible for developing innovative solutions utilizing advanced machine learning techniques, designing and optimizing data pipelines, and enhancing recommender system capabilities. He / She will play a crucial role in leveraging large-scale datasets to generate valuable insights and drive data-centric decision-making.

Essential Duties and Responsibilities

  • Design, implement, and optimize data pipelines to ensure efficient data ingestion, storage, and processing for analysis and machine learning applications, via cloud computing technology.
  • Ensure data quality and integrity throughout the pipeline, implementing appropriate data validation and cleansing techniques.
  • Design, develop, and build AI engines with various data science, machine learning and Gen AI algorithms, models for recommender systems.
  • Evaluate model performance, perform relevant AB tests, and continuously improve accuracy, efficiency, and scalability.
  • Develop and enhance AI capabilities to improve model outputs and fine-tune responses, integrating with the AI pipeline.
  • Collaborate with data engineers and analysts to understand the data needs of various stakeholders across the organization and develop appropriate solutions that meet those needs, potentially translating them into scalable AI solutions for recommender systems.
  • Stay up-to-date with industry trends and emerging technologies in data science, AI and ML.

Pre-Requisites :

Qualifications and Skills

  • Degree in computer science, engineering, mathematics or equivalent experience.
  • 2+ years of relevant professional experience.
  • Ability to write clean, maintainable, scalable and robust code using Python, SQL, Java.
  • 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, distributed computing framework like Spark or Dask, data transformation tool like Data Build Tool (DBT).
  • In-depth knowledge of machine learning techniques, reinforcement learning and other algorithms.
  • Experience in working with large-scale datasets, data preprocessing, feature engineering, model tuning and Gen AI.
  • 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.

Are you game?

Top Skills

Airflow
AWS
Azure
Dask
Data Build Tool
Docker
Google Cloud Platform
Java
Python
Spark
SQL
Terraform
Am I A Good Fit?
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The Company
1,383 Employees
On-site Workplace
Year Founded: 2005

What We Do

Razer™ is the world’s leading lifestyle brand for gamers.

The triple-headed snake trademark of Razer is one of the most recognized logos in the global gaming and esports communities.

With a fan base that spans every continent, the company has designed and built the world’s largest gamer-focused ecosystem of hardware, software and services.

Razer’s award-winning hardware includes high-performance gaming peripherals and Blade gaming laptops. Razer’s software platform, with over 70 million users, includes Razer Synapse (an Internet of Things platform), Razer Chroma™ (a proprietary RGB lighting technology system), and Razer Cortex (a game optimizer and launcher).

In services, Razer Gold is one of the world’s largest virtual credit services for gamers, and Razer Fintech is one of the largest online-to-offline digital payment networks in SE Asia.

Founded in 2005 and dual-headquartered in Irvine and Singapore, Razer has 18 offices worldwide and is recognized as the leading brand for gamers in the USA, Europe and China. Razer is listed on the Hong Kong Stock Exchange (Stock Code: 1337).

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