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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.
  6. Select Sites can use Javascript.
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  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.
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  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).
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Jobs or company...

Senior Data Science Project Manager

Salary undisclosed
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ST Engineering is a global technology, defence and engineering group with offices across Asia, Europe, the Middle East and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives. Our dedication to excellence and our strong track record have earned us a distinctive reputation for quality and trust spanning across the aerospace, smart city, defence and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.Join our Cyber TeamWe are an industry leader in cybersecurity with over two decades of experience, we deliver a holistic suite of trusted cybersecurity solutions to empower cyber resilience for government and ministries, critical infrastructures, and commercial enterprises. Backed by our indigenous capabilities and deep domain expertise, we offer robust cyber-secure products and services in cryptography, cybersecurity engineering, digital authentication, SCADA protection, audit and compliance. We specialise in the design and build of security operations centres for cybersecurity professionals and provide managed security services to strengthen the cybersecurity posture of our government and enterprise customers.We work with organizations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.We are seeking a dynamic Senior Data Science Project Manager who is passionate about both leadership and hands-on management, capable of delivering high-quality data science solutions in complex environments.Responsibilities:Project Management & Leadership:
  • Oversee end-to-end execution of data science projects, ensuring alignment with business objectives.
  • Act as both Project Manager and Scrum Master to facilitate efficient project delivery.
  • Organize and manage project timelines, sprint planning, and progress tracking.
  • Foster communication between stakeholders, teams, and clients to ensure transparency and success.
Strategic Planning & Business Process Analysis:
  • Analyze business requirements and translate them into functional specifications for data science applications.
  • Define key project goals, success metrics, and risk mitigation strategies.
  • Align data science initiatives with organizational priorities and operational workflows.
Data Science & Machine Learning Oversight:
  • Lead the deployment and operationalization of machine learning models and AI-driven solutions.
  • Work closely with data scientists to develop scalable and efficient data pipelines.
  • Ensure seamless integration of analytical models into production environments.
Team Leadership & Collaboration:
  • Mentor and guide data science teams, fostering professional growth and collaboration.
  • Establish best practices for model deployment, data governance, and quality control.
  • Encourage a culture of experimentation, learning, and continuous improvement.
Technology & Infrastructure Management:
  • Oversee the adoption of best practices in MLOps, DevOps, and cloud infrastructure for data science projects.
  • Advocate for the use of scalable technologies and efficient workflows in data science development.
  • Ensure compliance with security policies, data privacy regulations, and industry standards.
Requirements:Experience:
  • 7+ years of professional experience managing data science, AI, or machine learning projects.
  • Proven track record of successfully leading and delivering complex data-driven solutions.
  • Experience working in cybersecurity, finance, healthcare, or other high-stakes domains is a plus.
Skills:
  • Expertise in data science methodologies, including machine learning, statistical analysis, and AI frameworks.
  • Strong proficiency in Python, with familiarity in ML frameworks like PyTorch.
  • Solid understanding of Data Science Architectures and DevOps practices.
  • Knowledge of CI/CD pipelines, model monitoring, and automation tools is a plus.
Leadership & Project Management:
  • Strong leadership skills with experience as a Project Manager or Scrum Master.
  • Proficiency in Agile methodologies and tools like Jira.
  • Excellent problem-solving, organizational, and communication skills.
Preferred Qualifications:
  • Certifications in Project Management or Agile methodologies (e.g., PMP, CSM) is a plus.
  • Experience in designing and deploying scalable data science solutions.
Work Location: Jurong EastFind out more:ST Engineering believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.
ST Engineering is a global technology, defence and engineering group with offices across Asia, Europe, the Middle East and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives. Our dedication to excellence and our strong track record have earned us a distinctive reputation for quality and trust spanning across the aerospace, smart city, defence and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.Join our Cyber TeamWe are an industry leader in cybersecurity with over two decades of experience, we deliver a holistic suite of trusted cybersecurity solutions to empower cyber resilience for government and ministries, critical infrastructures, and commercial enterprises. Backed by our indigenous capabilities and deep domain expertise, we offer robust cyber-secure products and services in cryptography, cybersecurity engineering, digital authentication, SCADA protection, audit and compliance. We specialise in the design and build of security operations centres for cybersecurity professionals and provide managed security services to strengthen the cybersecurity posture of our government and enterprise customers.We work with organizations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.We are seeking a dynamic Senior Data Science Project Manager who is passionate about both leadership and hands-on management, capable of delivering high-quality data science solutions in complex environments.Responsibilities:Project Management & Leadership:
  • Oversee end-to-end execution of data science projects, ensuring alignment with business objectives.
  • Act as both Project Manager and Scrum Master to facilitate efficient project delivery.
  • Organize and manage project timelines, sprint planning, and progress tracking.
  • Foster communication between stakeholders, teams, and clients to ensure transparency and success.
Strategic Planning & Business Process Analysis:
  • Analyze business requirements and translate them into functional specifications for data science applications.
  • Define key project goals, success metrics, and risk mitigation strategies.
  • Align data science initiatives with organizational priorities and operational workflows.
Data Science & Machine Learning Oversight:
  • Lead the deployment and operationalization of machine learning models and AI-driven solutions.
  • Work closely with data scientists to develop scalable and efficient data pipelines.
  • Ensure seamless integration of analytical models into production environments.
Team Leadership & Collaboration:
  • Mentor and guide data science teams, fostering professional growth and collaboration.
  • Establish best practices for model deployment, data governance, and quality control.
  • Encourage a culture of experimentation, learning, and continuous improvement.
Technology & Infrastructure Management:
  • Oversee the adoption of best practices in MLOps, DevOps, and cloud infrastructure for data science projects.
  • Advocate for the use of scalable technologies and efficient workflows in data science development.
  • Ensure compliance with security policies, data privacy regulations, and industry standards.
Requirements:Experience:
  • 7+ years of professional experience managing data science, AI, or machine learning projects.
  • Proven track record of successfully leading and delivering complex data-driven solutions.
  • Experience working in cybersecurity, finance, healthcare, or other high-stakes domains is a plus.
Skills:
  • Expertise in data science methodologies, including machine learning, statistical analysis, and AI frameworks.
  • Strong proficiency in Python, with familiarity in ML frameworks like PyTorch.
  • Solid understanding of Data Science Architectures and DevOps practices.
  • Knowledge of CI/CD pipelines, model monitoring, and automation tools is a plus.
Leadership & Project Management:
  • Strong leadership skills with experience as a Project Manager or Scrum Master.
  • Proficiency in Agile methodologies and tools like Jira.
  • Excellent problem-solving, organizational, and communication skills.
Preferred Qualifications:
  • Certifications in Project Management or Agile methodologies (e.g., PMP, CSM) is a plus.
  • Experience in designing and deploying scalable data science solutions.
Work Location: Jurong EastFind out more:ST Engineering believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.