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.
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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.
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

Apply on

Linkedn
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I am looking to fulfill Snr Data Scientist role. The JP is mentioned below.

Practitioner has to work out of Whippany location min 2 days a week.

Pls help to share relevant profiles preferably local to NJ.

Key Responsibilities

  • Data Analysis: Conduct advanced statistical analysis to interpret and extract meaningful insights from large datasets. Extract data into presentable reports, charts, and graphs. Analyze and interpret data to find outliers, understand root cause, business impact, correlations/discrepancies, and propose changes/alternate solutions. Discover patterns/root causes, and generate insights to drive product enhancements
  • Machine Learning: Develop, implement, and optimize machine learning models to support various business initiatives. Analyze and evaluate the quality of data used for model training and testing. Create and present proposals and results in an intuitive, data-backed manner, along with actionable insights and recommendations to drive business decisions
  • Project Leadership: Lead data science projects from conception to deployment, ensuring timely delivery and high-quality outcomes.
  • Collaboration: Work closely with product managers, engineers, and other stakeholders to understand business needs and align data solutions accordingly.
  • Mentorship: Mentor and guide junior data scientists and analysts, fostering a collaborative and growth-oriented environment.
  • Data Infrastructure: Contribute to the development and maintenance of data pipelines, ensuring data accuracy and accessibility.
  • Reporting: Prepare and present analytical reports and visualizations to communicate findings to both technical and non-technical audiences.

Qualifications
  • Education: Master's or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field.
  • Experience: Minimum of 5 years of experience in data science or a related field.
  • Expert in AWS AI/ML, GenAI tools e.g. SageMaker, Bedrock etc.
  • Technical Skills: Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn) and data visualization tools (e.g., Tableau, Power BI).
  • Experienced in Identity and Access management, data protection, data privacy standards
  • Experienced in building model/tooling around continuous auditing
  • Analytical Skills: Strong analytical and problem-solving skills, with a keen attention to detail.
  • Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex concepts to diverse audiences.
  • Team Player: Ability to work effectively in a team environment and independently.

Preferred Qualifications
  • Experience in the industry relevant to the company's domain (e.g., finance, healthcare, e-commerce).
  • Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
  • Experience with big data technologies (e.g., Hadoop, Spark).
  • Published research or contributions to open-source projects.
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