Data Scientist III (AmSec), Veritas

Amazon is hiring a Data Scientist III (AmSec), Veritas in Seattle, United States. It pays $159k-$215k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this data scientist role Little AI ●○○○: aI is not part of the work.
Pay on this posting starts in line with the typical data scientist posting on Level.
Level classes it as a mid-level role.
Amazon has 21,000+ other open roles on Level.
Posted in the last few days.

AI in this role

At Amazon, we are obsessed with customer trust. Amazon Security enables Amazon's business leaders to build and operate securely while protecting the confidentiality and integrity of Amazon and customer data. We assess risk, classify data and systems, detect intrusion, and drive mitigation at scale.

Veritas is Amazon's single source of truth for applications and services and the resources that make them up, spanning both Stores/Devices (SDO) and AWS. Security teams across Amazon rely on Veritas to understand attack paths, assign issue ownership, track the flow of sensitive data, and reason about risk across one of the largest and most diverse technology footprints in the world.

We are seeking a talented, self-directed Senior Data Scientist to work on cutting-edge security technologies. You will take the lead on large, ambiguous problems that have not been solved before - defining both the problem and the solution approach autonomously. You will design and run experiments, research new algorithms, and find new ways to protect Amazon's customer trust. You will work closely with talented software engineers and security engineers who transform your prototypes and models into production. You should thrive in ambiguous environments and enjoy fast-paced settings where learning new concepts quickly is essential. You leverage exceptional technical expertise, strong statistical skills, and data acumen to analyze large volumes of business data and make Amazon safer. Your strong communication skills enable you to influence across multiple teams and to work effectively with both business and technical partners, including senior leadership.

Key job responsibilities
- Define problems and solution approaches autonomously in ambiguous, open-ended security problem spaces where no established pattern exists. - Process and analyze large data sets using the full range of techniques required, selecting the ideal method from a wide range of data science disciplines.
- Deliver scalable models that analyze large data sets efficiently.
- Build mathematical models to detect and classify specific data elements with high accuracy.
- Prototype models in high-level modeling languages such as R, or in software languages such as Python. A software team will partner with you to transform prototypes into production.
- Take the lead on large projects that require both business and technical domain expertise, delivering significant benefit to the business.
- Influence multiple teams and build consensus across business, science, and engineering stakeholders; advise senior managers and directors on data-driven security decisions.
- Mentor and develop other scientists; perform data science technical assessments and participate in science and data-engineering code reviews.
- Create, enhance, and maintain technical documentation, and present findings to other scientists and business leaders, keeping teams current on relevant scientific advancements.

Basic qualifications

- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression

Preferred qualifications

- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually

How we rate this

Data Scientist III (AmSec), Veritas at Amazon rates 7 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.