Data Scientist

Remote from
Israel flag
Israel
Annual salary
Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Employment type
Full Time,
Job posted
Apply before
19 Sep 2025
Experience level
Senior
Views / Applies
12345 / 123

About Akamai Technologies

Akamai is the cybersecurity and cloud computing company that powers and protects business online.

Actively Hiring
Verified job posting
This job post has been manually reviewed for authenticity and compliance.

Do you have a passion for exploring new technologies, detecting threats, and leveraging AI to enhance security?

Are you interested in using Data Science to protect organizations we are working with?

Join our Enterprise Security Group AI/ML Research team!

We uses Data Science and massive amounts of Akamai network traffic data to enhance the threat intelligence that is used in multiple Akamai products. Our customers include network operators and enterprises.

Position Overview

Akamai is transforming how enterprises protect data centers and clouds from evolving threats. We seek a Data Analysis and Quality Lead to enhance AI/ML data reliability for leading organizations. This role supervises data analysts and quality teams while collaborating with AI researchers and ML engineers. Ideal candidates have expertise in data analytics, AI validation, and security-focused solutions.

In this role you will be:

  • Developing analytical frameworks for business requirements and AI research.
  • Generating data sets that support AI modeling and validation.
  • Collaborating with data scientists and product managers to solve complex business challenges like threat detection and automation.
  • Monitoring live solutions for accuracy and potential anomalies.
  • Collaborating with product teams to refine data needs and analysis approaches.
  • Documenting best practices that address ambiguity in real-life analytics.

Do what you love

To be successful in this role you will:

  • Have experience working with SQL for data analysis.
  • Experience using Python to handle complex data sets.
  • Have a background in AI validation and security solutions.
  • Have the ability to manage ambiguous data challenges.
  • Experience with monitoring and evaluating live AI deployments.
  • Have a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.

Build your career at Akamai

Our ability to shape digital life today relies on developing exceptional people like you. The kind that can turn impossible into possible. We’re doing everything we can to make Akamai a great place to work. A place where you can learn, grow and have a meaningful impact.

With our company moving so fast, it’s important that you’re able to build new skills, explore new roles, and try out different opportunities. There are so many different ways to build your career at Akamai, and we want to support you as much as possible. We have all kinds of development opportunities available, from programs such as GROW and Mentoring, to internal events like the APEX Expo and tools such as Linkedin Learning, all to help you expand your knowledge and experience here.

Learn more

Not sure if this job is the right match for you or want to learn more about the job before you apply? Schedule a 15-minute exploratory call with the Recruiter and they would be happy to share more details.

Apply now >

Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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FAQ

What position is Akamai Technologies hiring for?

Akamai Technologies is hiring a remote Data Scientist from 🇮🇱 Israel

What type of employment does Akamai Technologies offer?

This is a Full Time role.

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