Settings

Important:

Please use Google Chrome when applying for job to avoid any system errors due to browser incompatibility.

Senior Data Scientist

📁
Engineering
📅
013592 Requisition #
Apply for Job
Share this Job
Sign Up for Job Alerts

Overview
Akamai’s security business is one of its fastest growing areas, and we are applying cutting edge machine learning techniques to identifying and validating threats, based upon the data that we analyze from our customers. The Carrier business unit, in particular, works with ISPs worldwide, using the fact that Akamai provides DNS-based services for over 400 million subscribers worldwide to analyze and discover threat data in that subscriber traffic. These provide the raw material that we need to identify threats that will be mitigated by our SPS and Enterprise product lines (ThreatAvert, SecureConsumer, SecureBusiness, ETP). We need someone with the experience and ambition to use this data to help lead our ability to innovate in this area. If you love analyzing and extracting meaningful insight from network-based data to provide better security for millions of subscribers to these services, and see your insight practically applied, this role is full of opportunity for you.

You will apply your highly developed, highly practical analytical skills and your experience with statistical analysis, predictive modeling and data mining to derive actionable insight from large volumes of data that will to delight our customers and improve outcomes across our business.

As a Senior Data Scientist you will be responsible for:
* Research into cyber attacks based on real-time data to produce actionable intelligence on phishing, malware and botnet attacks.
* Research and prototype new techniques which enhance Akamai’s ability to identify and gather intelligence on attack vectors.
* Help business leaders in Sales, Marketing, Product and Operations groups formulate critical questions that may be answered through statistical analysis
* Build mathematical models to analyze and derive practical insight from large volumes of DNS query and other data
* Help drive business decisions in areas such as product pricing, customer segmentation, product development, capital deployment and forecasting of customer behavior
* Create compelling visualizations to communicate insights to executive management
* Define new business metrics if required and build measurement systems if needed

About the Team
Akamai’s Enterprise & Carrier Division is a dynamic “start-in“ group that defines, develops, and sells Akamai’s carrier products to fixed and mobile carriers. The group is responsible for Akamai’s Aura Network Solutions and incorporates the strength of Akamai’s globally distributed computing system packaged into products and sold to network service providers (Telcos, ISPs, MSOs). The division collaborates closely with the other product and engineering groups within Akamai as well many external partners and customers.


Required Education and Experience
Applicants must meet one of the following education and experience requirements:
* 8 years of relevant experience and a Bachelor’s degree or
* 6 years of relevant experience and a Master’s degree or
* 3 years of relevant experience and a PhD

Required Skills
* 8+ years of experience building and applying sophisticated statistical models
* 8+ years experience in data mining, machine learning and building statistical models

Desired Skills
* Desire to work in a fast-paced, dynamic, highly effective team.
* Experience communicating insights from complex data to non-technical audiences
* Experience in general programming language such as Ruby, Python, Perl, Java, or C
* Experience with Hadoop, Map/Reduce, Hive, or equivalent software
* Experience with streaming technologies, such as Kafka
* Experience with NLP algorithms is a bonus.
* Experience in sales and marketing analysis
* Experience with modeling demand curves
* Ability to influence at all levels of the organization
* Proven success executing multiple parallel projects


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.


About Akamai Technologies

Akamai secures and delivers digital experiences for the world's largest companies. Akamai's intelligent edge platform surrounds everything, from the enterprise to the cloud, so customers and their businesses can be fast, smart, and secure. Top brands globally rely on Akamai to help them realize competitive advantage through agile solutions that extend the power of their multi-cloud architectures. Akamai keeps decisions, apps and experiences closer to users than anyone - and attacks and threats far away. Akamai's portfolio of edge security, web and mobile performance, enterprise access and video delivery solutions is supported by unmatches customer service, analytics and 24/7/365 monitoring. To learn how Akamai is shaping the future of digital transformation, visit www.akamai.com and follow @Akamaijobs on Twitter, Facebook, LinkedIn and Instagram.


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 at www.akamai.com/diversity.


Akamai Technologies is an Affirmative Action, Equal Opportunity Employer. If you'd like more information about EEO rights under United States law, please click here

My Profile

Create and manage profiles for future opportunities.

Go to Profile

My Submissions

Track your opportunities.

My Submissions

Similar Listings

Santa Clara, United States

📁 Engineering

Santa Clara, United States

📁 Engineering

Santa Clara, United States

📁 Engineering