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

Salary undisclosed

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Job Purpose

Join our innovative and forward-thinking team at Strides Digital. We are dedicated to pioneering advanced technological solutions that drive the future of intelligent transportation, sustainability and decarbonisation.

Responsibilities
  • Implement data pipelines, integrating diverse data sources, including structured and unstructured data to ensure seamless data flow and accessibility for analytical purposes
  • Perform data mining, processing, cleansing, and validation to ensure the integrity and accuracy of data used in the construction of analytical systems.
  • Conduct exploratory data analysis, apply statistical methods to identify trends, patterns, and outliers.
  • Create and maintain reports, dashboards and data visualization to present insights and key findings to empower clients and stakeholders with actionable information for informed decision-making.
  • Build and implement machine learning/predictive/optimization models to generate useful insights and make data-driven predictions.
  • Integrate models into systems and run simulations to test their effectiveness.
  • Engage in collaborative efforts with cross-functional implementation teams to formulate and convert problems into actionable insights with high impact, covering diverse core business areas.
  • Identify and propose innovative uses of data to enhance company offerings and solve industry challenges.
  • Stay updated with the latest industry trends, tools, and technologies to continuously improve data science capabilities.


Qualifications & Work Experience
  • Proficiency in conducting exploratory data analysis, identifying patterns, and deriving insights using statistical techniques.
  • Ability to work with large datasets, ensuring accuracy and attention to detail in data analysis and interpretation.
  • Understanding of statistical concepts, and experience in building and implementing machine learning/predictive/optimization models.
  • Excellent written and verbal communication skills to effectively convey analysis results and collaborate with team members and stakeholders.
  • Ability to work collaboratively in a team environment and manage multiple projects simultaneously.


Skills
  • Bachelor's degree or Postgraduate degree in Data Analytics, Data Science, Statistics, Computer Science, Artificial Intelligence or equivalent qualifications.
  • Proficient in at least one of the following programming skills: Python, SQL.
  • Strong knowledge of data visualization tools (e.g.Tableau, PowerBI, matplotlib or other python graphing libraries etc) to present data findings in a visually appealing and informative manner.
  • Candidates should ideally have 2-3 years of experience; however, fresh graduates with a strong academic background and relevant skills are also encouraged to apply.


Strides Digital is a leading provider of integrated digital solutions, driven by our core values of seamless, smarter, and sustainable. With a deep understanding of the constantly evolving digital landscape, we are here to cater to your unique business needs, ensuring that our solutions seamlessly integrate into your existing systems and processes.
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