Akamai Technologies, Inc. Data Scientist in Santa Clara, California

Data Scientist


Santa Clara, United States

Software Engineering

4 days ago Post Date

012830 Requisition #

About the Job

If you have a deep passion for data and security, love handling massive data sets, and get excited from solving hard problems, Akamai is the place for you. We are seeking a highly motivated Sr. Data Scientist who will work with team of scientists developing the next generation of Akamai's security algorithms, which are used to protect our global customer base from web attacks, automated bots and online fraud.

About the Team

The Web Security Engineering team has responsibility for the technologies that power Security Products. These include Kona Site Defender, Bot Management, Akamai Prolexic, Web Application Firewall and Site shield. These provide protection from both DDoS and application specific web attacks with high availability.

Akamai’s global footprint of over 220,000 servers provides an overlay network with scale and capacity to not just deliver the largest web events but also secure the largest Internet brands from attack. The team builds and extends Akamai’s highly fault-tolerant wide area distributed content delivery and application acceleration systems to improve performance, security, reliability and availability of high value web sites. Akamai powers over 85% of the top online retailers, with over $100 billion in annual revenue.

Required Education and Experience:

  • MSc or PhD Computer Science, Applied Math, Statistics, Machine Learning

  • 3 years' experience with web technologies - HTTP, HTML, TLS/SSL and JavaScript

  • 3 Years' experience with statistics and experience with machine learning algorithms/techniques

  • 2 years' experience in applying machine learning techniques to real-world data

  • 3 years' experience with Data Structures, Algorithms and Design Patterns

  • 3 years' experience working with programming languages and big data environments, specifically, Python, Java, Spark and Hadoop

Desired Qualifications:

  • Passion for solving challenging analytical problems

  • Ability to work productively with team members, identify and resolve tough issues in a collaborative manner

  • Previous research experience in Machine Learning specifically anomaly detection

  • Masters or higher degree in applied math, statistics, machine learning, computer science or relevant subject

Understanding of Web Application security, specifically topics such as SQL Injection, Cross-Site Scripting, CSRF and so forth

  • Fraud modelling experience

About Akamai Technologies

Akamai is the global leader in Content Delivery Network (CDN) services, making the Internet business ready—fast, reliable, and secure—for its customers. The company's advanced web performance, mobile performance, cloud security and media delivery solutions are revolutionizing how businesses optimize consumer, enterprise and entertainment experiences for any device, anywhere. Headquartered in Cambridge, MA, Akamai has offices around the world and operates the most pervasive, highly distributed CDN—with more than 200,000 servers in 110 or more countries—delivering up to 30% of all Web traffic. Learn more atwww.akamai.com/careers.

Akamai is a growing, and evolving, company with offices and operations around the world. As such, we strive to foster inclusive and representative workplaces where all employees are wholly welcome, and enabled to share and benefit from each other’s diverse contributions, as one global team. Our commitment to diversity reaches beyond our corporate offices, to our business partners and suppliers who share the same principles, and whose employees we value as integral to the Akamai business family. Learn more atwww.akamai.com/diversity.

Akamai Technologies is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of gender, race/ethnicity, protected veteran status, disability, or other protected group status. If you'd like more information about EEO rights under United States law, please click here.