Data Scientist II, Stores Security, Risk Engineering

Are you passionate about transforming how Amazon identifies and remediates security risks at scale Does the prospect of using data science and AI to protect Amazons most critical business operations excite you

Stores BST Risk Engineering builds data-driven risk intelligence solutions that help security teams across Amazons stores identify prioritize and remediate strategic security risks. Our customers range from security engineers managing thousands of vulnerabilities to business leaders making strategic risk decisions. We use machine learning generative AI and large-scale data analysis to solve diverse security risks at a very large scale.

Your responsibilities will include developing machine learning models for automated fraud detection and pattern recognition building clustering algorithms that identify root causes across thousands of security issues and creating data correlation pipelines that integrate security signals from multiple sources. Youll use advanced AI and Data Science techniques for fraud detection unsupervised learning for pattern discovery and generative AI for automated analysis at scale. Your work will directly enable security teams to shift from manual analysis taking weeks to automated insights delivered in minutes.

Were looking for data scientists who can prototype and productionize innovative models using supervised unsupervised and reinforcement learning techniques. Youll work on problems like correlating external threat intelligence with asset inventories building statistical profiles to detect evolving fraud patterns and designing confidence scoring systems for real-time risk categorization. If you want to apply machine learning to never-before-solved security problems at Amazon scale this is your team.

Key job responsibilities
- Demonstrate thorough technical knowledge on feature engineering of massive datasets effective exploratory data analysis and model building using industry standard AI/ML models and working with Large Language Models
- With your broad expertise in a variety of data science disciplines recommend the right data science strategy and drive solution to complex or ambiguous problems
- Work closely with internal stakeholders like the business teams engineering teams and partner teams influence their strategies to align with your focus area
- Innovate by adapting new modeling techniques and procedures
- Passionate about working with huge data sets ( training/fine tuning) and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets
- Exposure at implementing and operating stable scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant self-healing and adaptive.
- Show good judgment when making trade-offs between short-term customer market or research needs and long-term operations or technology needs.

About the team
About Amazon Security

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 hasnt followed a traditional path or includes alternative experiences dont 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 Amazons 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 its 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.

- 2 years of data scientist 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
- 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- 1 years of working with or evaluating AI systems experience
- 1 years of creating or contributing to mathematical textbooks research papers or educational content experience

- Ph.D. in Science Technology Engineering or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python Perl or another scripting language
- Experience in a ML or data scientist role with a large technology company

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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 136000.00 - 184000.00 USD annually