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Please Turn on your JavaScript

Epicareer might not working properly because your browser javascript is turned off.

What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
How do i turn this on?
Find tutorial for your browser below :
  1. Make sure the webpage is open.
  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
  8. Make sure Allow is chosen in the pop-up menu next to the website.
Visit Site here
  1. Open Chrome on your computer.
  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
  6. Select Sites can use Javascript.
Visit Site here
  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
  2. Tip: If you're running Mac OS, click the Firefox drop-down list > Preferences.
  3. On the Content tab, click the Enable JavaScript check box.
Visit Site here
  1. Click the "Settings and more" icon at the top right of the Edge browser window.
  2. Click Settings.
  3. From the Settings menu, click Cookies and site permissions.
  4. Scroll down and click on JavaScript.
  5. In the JavaScript window, toggle the slider to "on" or "allowed."
  6. Close the Settings tab.
  7. Refresh the page.
Visit Site here
  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
Visit Site here
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Jobs or company...

Data Science Intern

Salary undisclosed

Apply on

IndeedSG

Availability Status

This job is expected to be in high demand and may close soon. We’ll remove this job ad once it's closed.

Original
Simplified

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 :

The Data Scientist Intern will play a critical role in refining and enhancing Razer’s recommendation engine
and A/B testing platform, which impact millions of users on a daily basis. This position is ideal for
candidates with a passion for data-driven decision making, machine learning, and statistical analysis. The
intern will work alongside other data scientists and engineers to develop, deploy recommendation
solutions contributing to the sale of Razer products and robust A/B testing methodologies.

Requirements:

  • 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, 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)

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.

  • Handle all aspects of ML model development (Data wrangling, feature engineering, model exploration / selection, training, offline evaluation, planning A/B experimentation & deploying to production)

  • Collaborating closely other data scientists to gather knowledge on AI projects using LLMs.

  • Using AWS SDK to build scalable solutions on the cloud and Infrastructure as code - Terraform

Pre-Requisites :

Are you game?

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