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...

Staff Engineer (Data Scientist)

Salary undisclosed

Apply on

Indeed MY

Availability Status

This job is expected to be in high demand and may close soon. We’ll remove this job ad once it's closed.

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The ams OSRAM Group is a global leader in optical solutions. By adding intelligence to light and passion to innovation, we enrich peoples' lives. This is what we mean by Sensing is Life. Our around 26,000 employees worldwide focus on innovation across sensing, illumination and visualization to make journeys safer, medical diagnoses more accurate and daily moments in communication a richer experience.
  • Develop analytical model to predict/forecast user behaviors to meet business requirements and drive business growth.
  • Communicate the results to management via data visualizations, presentations.
  • Develop Machine learning, Deep learning and AI algorithm to solve business case or problem.
  • Deploy and integrate the model with other applications using python and other related technologies for application development and deployment.
  • Create various documentations required as part of implementation.
  • Ability to meet the timelines set by the management on the change requests raised.
  • Master’s Degree in a technical field like Math, Statistics, Computer Science, Data Science, Artificial Intelligence, Engineering, Operations Research, or Physics
  • At least 3 years of experience working within a corporation or consumer-focused environment
  • Proven expertise in data science and analytics for key areas such as probability and statistics, time-series analysis, pattern recognition, optimization, and predictive modeling
  • Ability to clean and transform messy data in Python
  • Ability to extract data from SQL and/or NoSQL databases is required
  • Hands-on experience working with cloud services such as MS Azure is required
  • Experience with fast prototyping using open source technologies such as R and Python
  • Experience in implementing machine learning solutions in Python, R, or similar languages
  • Experience with data visualization tools such as Power BI, Qlik Sense, D3, R-Shiny, Dash, etc.
  • Ability to develop, train, evaluate, and present statistical models
  • Experience with front-end development for data analytics applications is a plus
  • Experience with key software development processes such as testing and version control using git repositories
  • Ability to collaborate with data scientists, software developers, business partners and other stakeholders
  • Experience with agile methodology and project management is highly desired
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