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Description

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

Our team at Customer Logistics Security is responsible for securing Amazon's World-Wide Operations, Physical Retail Stores and Prime Air.

We are looking for a data scientist to join our team’s efforts to help keep our customers secure. In this role, you will lead data science and Machine Learning investments to scale our security automation to gain better visibility into our security posture and drive improvements. You will innovate in driving high degrees of accuracy, precision and recall in an ocean of data. You will partner closely with Security Engineers, and Software Engineers to build scalable solutions that must operate in real-time.

Key job responsibilities

- You will extract insights and clarity from noisy, unstructured data arriving in high-volumes.

- You will scientifically test ways to find, measure and long-term solve potential security problems using telemetry both historical and in real-time.

- You will lead the charge in establishing new techniques to apply Machine Learning and statistical methods to classify assets, assign ownership for assets and identify anomalies.

A day in the life

We own and drive the security of wide ranging technology for our customers like cloud applications, operational technology, robotics, drones, retail checkout systems, networks, handheld devices and legacy infrastructure.

You will work closely with security engineering and software engineers to generate and prioritize experiments, proofs-of-concepts, initiatives and shepherd/steer engineering deliverables. You will mature the practice of data science in application of security controls and automation. You will innovate to find statistical and Machine Learning methods that can be practically deployed for real-time blocking or redaction of customer data.

About the team

Diverse Experiences

Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why Amazon Security?

At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores

Inclusive Team Culture

In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.

Training & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Basic Qualifications

- 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience

- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

- Experience applying theoretical models in an applied environment

- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Master's degree

Preferred Qualifications

- Experience in a ML or data scientist role with a large technology company

- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience

- Experience managing data pipelines

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.