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Analyze large datasets to tell legitimate traffic from fraud
Develop and implement detection rules and models for security products
Improve processes to collect, present and analyze large datasets in production
Troubleshoot production issues in a very distributed environment
Analyzing large sets of data to differentiate legitimate and fraud traffic
Developing and implementing detection rules and models to improve the accuracy and effectiveness of the security products.
Improving processes to collect, manipulate, present, and analyze large datasets in a production-ready environment
Troubleshooting production issues in a very distributed environment
Have 8 years of relevant experience and a Bachelor's degree or its equivalent
Have experience working on large datasets using SQL/Spark and Python
Have a good understanding of probability, statistics and machine learning algorithms/techniques
Possess practical knowledge of application security products such as bot or fraud detection
Demonstrate Familiarity with Internet protocols including TCP/IP, HTTP, DNS, TLS/SSL
To be successful in this role you will: - * Have 8 years of relevant experience and a Bachelor's degree or its equivalent - Have experience working on large datasets using SQL/Spark and Python
We provide the world's most distributed platform from Cloud to Edge to help the giants of the digital world work faster and stay more secure, making the internet a better experience for everyone.
In the employer’s words · Read in context
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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Day 0
Early. Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
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- * Have 8 years of relevant experience and a Bachelor's degree or its equivalent - Have experience working on large datasets using SQL/Spark and Python - Have a good understanding of probability, statistics and machine learning algorithms/techniques
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Does developing creative machine learning models addressing application security threats get your head churning?
Join us and use data science to make a positive impact!
Join our Global Web Security group!
Our team is part of the Cloud Security organization. We are responsible for the technologies powering Akamai's security products and protecting some of the world's major internet brands. Working in partnership with other development teams, we design and create highly scalable solutions.
Partner with the best
In this role, you'll play a key part in strengthening security products by analyzing data, addressing customer challenges, and driving product improvements. You'll collaborate across teams to implement solutions, enhance detection accuracy, and provide insights that shape strategy and performance.
As a Senior II Data Scientist, you will be responsible for:
Do what you love
To be successful in this role you will:
About us
At Akamai, we make life better for billions of people, trillions of times a day.
Whether you're streaming live events, scrolling social media, watching your favorite series, or managing your savings, we're the engine behind the scenes. We provide the world's most distributed platform from Cloud to Edge to help the giants of the digital world work faster and stay more secure, making the internet a better experience for everyone.
Our focus is simple:
Cloud and Edge: Running apps closer to users for instant performance.
Security: Neutralizing threats before they ever reach your data.
Content Delivery: Scaling the world's biggest moments without a glitch.
AI: Enabling our customers to build, secure, and scale AI apps on the world's most distributed cloud platform.
At Akamai, we don't just support the internet; we power and protect it, because behind every great digital experience is a massive hidden challenge. And we're the ones who solve it. When millions of people hit play or pay, Akamai ensures it just works.
Benefits at Akamai: We support your health, well-being, finances, and life beyond work. See our benefits.
FlexBase adapts to your job's needs
Akamai's FlexBase program is yet another way we show our commitment to providing employees with an exceptional workplace experience. It's not about telling employees where to work; it's about supporting employees to do their best work.
We trust our incredible employees to work in ways that suit them best: at home, in an office, or a combination of both.
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Canada
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