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What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
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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.
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  1. Open Chrome on your computer.
  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
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  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
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  1. Click the "Settings and more" icon at the top right of the Edge browser window.
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  4. Scroll down and click on JavaScript.
  5. In the JavaScript window, toggle the slider to "on" or "allowed."
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  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).
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Jobs or company...
W

Data Scientist - Python Pro

Salary undisclosed

Apply on

Dice
Original
Simplified

Data/AI Team
Data Scientist Engineer to ingest and analyze large amounts of raw information.
You will wrangle, cleanse, and transform large datasets to prepare them for AI consumption. You will also develop and implement data pipelines to automate data ingestion, processing, and delivery for AI models.
Experience with AI, machine learning, and research is a big plus. Your goal will help our company analyze trends to make better decisions.

NO Agencies


Responsibilities

Design, develop, and implement data pipelines to collect, clean, and transform data from various sources
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Assist with data labeling and tagging
Analyze large amounts of information to discover trends and patterns
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams
Perform feature engineering for AI applications

What Skills Are Required:
MS or PhD in a Computer Science, Engineering, or relevant field.
8 + years of experience as a Data Scientist or Data Architect
Experience in data mining
Understanding of machine learning and operations research
Knowledge of SQL and Python; Python ML frameworks familiarity is a plus; familiarity with Java is a big plus
Experience using ELK Stack (Elasticsearch, Logstash, Kibana)
Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)
Strong math skills (e.g. statistics, algebra)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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