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Day 16
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Work setup in the employer’s posting: RemoteFrom the employer’s posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Analyze large customer datasets and build models from them
Develop and implement detection rules and models to improve accuracy
Improve processes to collect, manipulate, present and analyze large datasets
Troubleshoot production issues in a very distributed environment
Analysing large customer datasets (trillions of records a day), gaining insights and building models.
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 experience working on large datasets using SQL/Spark and Python.
Have a good understanding of probability, statistics and machine learning algorithms/techniques.
Demonstrate excellent problem-solving skills and enjoy troubleshooting to identify and resolve complex issues.
Have the confidence to speak up in front of senior or principal data scientists and engineers.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 16
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.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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To be successful in this role you will: - Have experience working on large datasets using SQL/Spark and Python. - Have a good understanding of probability, statistics and machine learning algorithms/techniques.
Complete your application on fa-extu-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.
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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 Data Scientist, on a typical day you will be:
Do what you love
To be successful in this role you will:
Practical knowledge of application security products such as bot or fraud detection.
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.
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Spain
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