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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Jobs or company...

Data Science Intern

Salary undisclosed
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Northway Sports is a dynamic and data-driven company committed to enhancing the sports industry through innovation and technology. We leverage data analytics to improve player performance, optimize team strategies, and enhance fan engagement.

About The Role

We are looking for a highly motivated Data Science Intern to join our team and help drive data-driven decision-making in the sports industry. This internship will provide hands-on experience in data analysis, machine learning, and predictive modeling, working with real-world sports data.

Key Responsibilities
  • Collect, clean, and analyze sports-related data from various sources.
  • Develop and implement machine learning models to identify patterns and insights.
  • Assist in building predictive models for player performance, game outcomes, or fan engagement.
  • Create data visualizations and reports to communicate findings to stakeholders.
  • Work with cross-functional teams, including data engineers, analysts, and sports strategists.
  • Stay updated on industry trends and advancements in sports analytics.

Qualifications
  • Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
  • Familiarity with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
  • Strong analytical and problem-solving skills.
Northway Sports is a dynamic and data-driven company committed to enhancing the sports industry through innovation and technology. We leverage data analytics to improve player performance, optimize team strategies, and enhance fan engagement.

About The Role

We are looking for a highly motivated Data Science Intern to join our team and help drive data-driven decision-making in the sports industry. This internship will provide hands-on experience in data analysis, machine learning, and predictive modeling, working with real-world sports data.

Key Responsibilities
  • Collect, clean, and analyze sports-related data from various sources.
  • Develop and implement machine learning models to identify patterns and insights.
  • Assist in building predictive models for player performance, game outcomes, or fan engagement.
  • Create data visualizations and reports to communicate findings to stakeholders.
  • Work with cross-functional teams, including data engineers, analysts, and sports strategists.
  • Stay updated on industry trends and advancements in sports analytics.

Qualifications
  • Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
  • Familiarity with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.
  • Strong analytical and problem-solving skills.