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 Scientist (Entry-Level)

Salary undisclosed

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Position Summary:

We are seeking a motivated and passionate Entry-Level Data Scientist to collaborate remotely with our dynamic team. This is an excellent opportunity for anyone aspiring to commence a career in data science, leveraging cutting-edge technology within a supportive and flexible workplace.

Responsibilities:
  • Collect, sanitize, and prepare data from several sources.
  • Employ statistical techniques and machine learning algorithms to analyze and comprehend data.
  • Develop data visualizations to effectively convey your results.
  • Collaborate with interdisciplinary teams to discover and resolve complex business challenges.
  • Assist in the formulation and execution of data models and algorithms.
  • Assess and enhance the efficacy of existing data models.


Requirements:
  • A bachelor's degree in data science, statistics, computer science, or a closely related field.
  • A foundational understanding of statistical analysis and machine learning methodologies.
  • Skilled in programming languages including Python and R.
  • Proficient in data visualization tools such as Tableau and Power BI.
  • Exceptional analytical and problem-solving abilities.
  • Exceptional communication and collaboration abilities.
  • Advantages:* -
  • The ability to conduct business from any location, facilitating an optimal equilibrium between professional and personal life.
  • Continuous learning opportunities with access to state-of-the-art technology and industry-leading processes.
  • Become part of a collaborative team committed to innovation and the provision of superior outcomes.
  • Engage in interdisciplinary initiatives to enhance your competencies.
  • Adaptable working hours to suit your lifestyle.
  • Compensated leave, encompassing holidays and personal days.
  • Remuneration commensurate with market standards and incentives based on performance.
  • Extensive health, dental, and vision insurance alternatives.
  • Continuous virtual team-building initiatives and social events.


Applicants must: * Be a citizen or permanent resident of the United States. * Possess a valid US address. * Be authorized to work in the United States.

Embark on your data science career in a setting that fosters creativity, development, and adaptability.
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