Epicareer Might not Working Properly
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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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Data Scientist

Salary undisclosed
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Original
Simplified

Key Responsibilities:

  • Research, prototype, and develop software solutions to solve problems across retail
  • Stay up to date with emerging technology and learn new technologies/libraries/frameworks
  • Learn and partner with peers across multiple disciplines, such as data, product, and systems design
  • Deliver on time with a high bar on quality of research, innovation and engineering

Basic Qualifications:

  • 2+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc.
  • 2+ years of experience training, evaluating and deploying Machine Learning models.
  • 2+ years of experience with productionizing and deploying ML workloads in AWS/Azure.
  • Familiarity with containerized application tooling and deployments (Docker/Kubernetes)
  • Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience

Extra Credit:

  • Experience with AWS Sagemaker and/or Databricks AI/ML platform.

Experience building ML models with large amounts of structured and unstructured data

Key Responsibilities:

  • Research, prototype, and develop software solutions to solve problems across retail
  • Stay up to date with emerging technology and learn new technologies/libraries/frameworks
  • Learn and partner with peers across multiple disciplines, such as data, product, and systems design
  • Deliver on time with a high bar on quality of research, innovation and engineering

Basic Qualifications:

  • 2+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc.
  • 2+ years of experience training, evaluating and deploying Machine Learning models.
  • 2+ years of experience with productionizing and deploying ML workloads in AWS/Azure.
  • Familiarity with containerized application tooling and deployments (Docker/Kubernetes)
  • Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience

Extra Credit:

  • Experience with AWS Sagemaker and/or Databricks AI/ML platform.

Experience building ML models with large amounts of structured and unstructured data