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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

Salary undisclosed
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Village Solar Co is dedicated to bringing sustainable and affordable solar energy solutions to underserved communities. Our mission is to leverage technology and data-driven insights to optimize solar energy distribution and improve energy access worldwide.

Role Overview

We are seeking a Data Science Intern to assist in analyzing energy consumption patterns, optimizing solar deployment strategies, and supporting decision-making through data-driven insights. This internship offers hands-on experience with real-world data, predictive modeling, and business intelligence tools.

Responsibilities
  • Collect, clean, and analyze large datasets related to solar energy consumption and distribution.
  • Develop predictive models to optimize solar panel placement and efficiency.
  • Assist in building dashboards and visualizations to track key performance metrics.
  • Work with engineering and business teams to translate insights into actionable recommendations.
  • Research and implement machine learning techniques for energy demand forecasting.
  • Document findings and present insights to internal teams.

Requirements
  • Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Engineering, or a related field.
  • Proficiency in Python, R, or SQL for data analysis and modeling.
  • Strong analytical and problem-solving skills.
  • Familiarity with machine learning concepts and libraries (e.g., Scikit-Learn, TensorFlow, PyTorch) is a plus.
Village Solar Co is dedicated to bringing sustainable and affordable solar energy solutions to underserved communities. Our mission is to leverage technology and data-driven insights to optimize solar energy distribution and improve energy access worldwide.

Role Overview

We are seeking a Data Science Intern to assist in analyzing energy consumption patterns, optimizing solar deployment strategies, and supporting decision-making through data-driven insights. This internship offers hands-on experience with real-world data, predictive modeling, and business intelligence tools.

Responsibilities
  • Collect, clean, and analyze large datasets related to solar energy consumption and distribution.
  • Develop predictive models to optimize solar panel placement and efficiency.
  • Assist in building dashboards and visualizations to track key performance metrics.
  • Work with engineering and business teams to translate insights into actionable recommendations.
  • Research and implement machine learning techniques for energy demand forecasting.
  • Document findings and present insights to internal teams.

Requirements
  • Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Engineering, or a related field.
  • Proficiency in Python, R, or SQL for data analysis and modeling.
  • Strong analytical and problem-solving skills.
  • Familiarity with machine learning concepts and libraries (e.g., Scikit-Learn, TensorFlow, PyTorch) is a plus.