Data Scientist

Job description

DESCRIPTION

Excited by using massive amounts of data to create sophisticated security analytics? Does pushing the envelope with user and entity behavior analytics (UEBA) including developing statistical, stochastic and machine learning models for security excite you? Want to help the largest global enterprises operate safely in the cloud and securely derive business value at an unprecedented scale? Your work will create the technical means that enables Amazon to grow rapidly yet securely.

This is an opportunity to operate in a truly groundbreaking manner given the sheer scale, breadth, and fast pace of the AWS environment. Data scientists work backward from the threats, creating new and innovative ways to detect, assess and react to potential malicious activity.

We are hiring technical specialists at the convergence of the four hottest areas in tech: Data Science, Security, Software Development and Cloud Services. Worried that you do not have hands-on experience in all four areas? We are looking for solid base and expertise in one area - you will grow expertise in the remaining areas to round out your background in all four key areas. You will work directly with the biggest internal and external Amazon customers – leveraging data and analytics to create innovative ways to work securely in the cloud.

Your job is distilling meaningful insights from large volumes of data, as a vehicle for creating security analytics to address the constantly evolving threat and attack space from sophisticated adversaries. This role will give you an opportunity to use and grow a broad range of skills in data science, analytic development, and information security – all using and creating cloud services in large scale computing environments. Considering the scale and the magnitude of the technical challenge, this role is a great opportunity to make a meaningful contribution to an extremely important area. Operating in the cloud at our scale enables activities that have never before been possible, providing new advantages and opportunities for innovative work.

A reactive security model in not acceptable, instead you will enhance real-time proactive and preemptive systems using data driven techniques. The analytic techniques are applied at each stage from detection (e.g. statistical, stochastic modeling) to response mitigation (e.g. Monte Carlo and predictive modeling). This job will challenge the candidate to dive deep into the extreme data world and understand the unique challenges in operating this platform at a scale unrivaled in the industry. Our scale provides unique opportunities that simply don't exist elsewhere, but these opportunities can only be revealed by a scientific thinker with a curious mind.

Desired profile

BASIC QUALIFICATIONS

A post graduate degree in a scientific field is preferred but successful development and deployment of security analytics count. The right candidate has a background in probability and statistics, applied mathematics, or computational science and a history of solving difficult problems using a scientific approach.

An M.S. or Ph.D. in Computer Science, Electrical and Computer Engineering, Mathematics or equivalent degree. Candidates with BS considered with experience in predictive modeling, data science, machine learning, or user and entity behavior analytic development.
· Success introducing automation and operating within a fast paced prototyping environment
· Information Security related:
· Endpoint and application security
· Network security with deep familiarity with standard Internet protocols (Ethernet, ARP, IP, ICMP, UDP, TCP, SSL, DNS, HTTP, etc.)
· Commercial security solutions such as web application firewalls, IDS/IPS, SIEM, DLP, DDOS mitigation
· Enterprise security solutions such as WAF, IPS, Anti-DDOS, and SIEM
· Excellent written and oral communication skills, strong sense of ownership, urgency, and drive