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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...

Scientist

RM 7,000 - RM 9,000 / Per Mon
Checking job availability...
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Responsibilities:

  • Data Mining: Identify and extract valuable data from various sources such as databases, APIs, and web scraping.
  • Feature Selection and Classification: Utilize machine learning algorithms to choose the most relevant features from the dataset, develop classifiers, and refine them for better accuracy.
  • Data Preprocessing: Clean and format both structured (like SQL databases) and unstructured data (like text or images) to prepare IT for analysis.
  • Data Integrity: Implement processes to ensure data quality by validating and cleansing data sets to eliminate inconsistencies and errors.
  • Pattern Analysis: Employ statistical methods and machine learning techniques to analyze large datasets, uncover trends, and derive actionable insights.
  • Predictive Modeling: Design and develop algorithms that predict outcomes based on historical data, helping to inform strategic business decisions.
  • Solution Proposals: Suggest data-driven strategies to address specific business problems, leveraging analytical insights to improve decision-making.
  • Collaboration: Work closely with cross-functional teams, including Business and IT, to align data initiatives with organizational goals and ensure technical feasibility.

About the company:

The company is a prominent multi-level marketing (MLM) company specializing in health supplements, personal care products, and lifestyle goods. They aim to empower individuals to achieve financial independence while promoting a healthy lifestyle.

Requirements:

  • Educational Background: A degree in Computer Science, Engineering, or a related field.
  • Proven Experience: Demonstrated Min 1 year experience in Data Scientist role, showcasing the ability to apply these skills in real-world scenarios.
  • Programming Skills: Proficiency in languages like R and Python for statistical analysis and machine learning, alongside SQL for querying databases.
  • Statistics: Strong foundation in applied statistics, understanding key concepts such as statistical tests, probability distributions, regression analysis, and maximum likelihood estimation.
  • Machine Learning: Familiarity with various machine learning algorithms, and enabling the selection of appropriate models for specific tasks.
  • Data Wrangling: Ability to preprocess and clean datasets, addressing issues like missing values, inconsistencies, and outliers to ensure data quality.
  • Hands-on Experience with Data Science Tools: Practical experience using various data science tools and libraries, such as scikit-learn, TensorFlow, or similar platforms, to implement machine learning and analysis tasks.
  • Analytical Mind and Business Sense: Ability to think critically about data in a business context, linking insights to strategic objectives and operational decisions.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud.

    Work Location:

  • Attractive Bonus
  • Career Growth