Back to jobs

Senior II Data Scientist

Pay
Pay not listed
Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full 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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • Experience working on large datasets using SQL/Spark and Python
  • Good understanding of probability, statistics and machine learning algorithms
  • Strong problem-solving skills and enjoyment of troubleshooting complex issues
  • Confidence to speak up in front of senior or principal data scientists and engineers
Qualification wording
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.
Apply at Akamai Technologies

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 19, 202616 days ago
Recorded sightings
56
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

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.

Akamai Technologies is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Spark
Where the posting names them
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.

Your next step

Complete your application on fa-extu-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.

Applying through Oracle Recruiting

  • Applying starts by asking for your email address.
  • Each employer sets which files it accepts, so read the note beside the upload field.

Already applied? Track this application

About the role

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.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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:

  • 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

Do what you love

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.
  • 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.
  • 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.


 

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Spain

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.