Data Scientist, AppStar Data Analytics & Engineering

Are you passionate about transforming how Amazon identifies and addresses security risks through data science and machine learning Does the prospect of using advanced analytics to drive measurable improvements in application security at scale excite you

As a Data Scientist on the AppStar DNA team (Data & Analytics Engineering) you will build data-driven solutions that help security teams across the AppStar organization identify patterns prioritize efforts and measure the impact of security initiatives. You will develop machine learning models conduct exploratory data analysis and create predictive algorithms that transform raw security data into actionable insights. Your work will enable security leaders to shift from intuition-based decisions to data-driven strategies backed by rigorous quantitative analysis.

You should be passionate about working with huge datasets and someone who loves to bring datasets together to answer business questions. You bring expertise in machine learning statistical modeling and data analysis and you combine that with curiosity and business judgment to solve ambiguous problems at Amazon scale.

Amazon is continuously innovating new services and features for our customers. Our engineers invent build and sometimes break things to make them easier faster better and more cost-effective. However no matter what were buildingfrom websites to web services AR to AI drones to devicessecurity is always our top priority. The Amazon Application Security team focuses on working with our builders to provide experiences that our customers can trust. That means constantly learning new things and solving complex problems to protect the safety security and privacy of billions of lives on a global scale.

At Amazon youll be working with the best minds in technology and security. Learn and be curious here and accelerate your career growth. You can take pride in knowing that your work is meaningful having a positive impact on others and making the world a better place.


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 solutions to complex or ambiguous problems
* Develop machine learning models for pattern recognition classification and prediction across security domains
* Build clustering algorithms that identify root causes and patterns across thousands of security issues
* Create statistical models and forecasting algorithms to predict security performance trends and identify improvement opportunities
* Design and implement data correlation pipelines that integrate security signals from multiple sources
* Work closely with internal stakeholders like business intelligence engineers data engineers security teams and leadership to influence strategies and align solutions with organizational needs
* Innovate by adapting new modeling techniques and procedures to solve never-before-solved security problems
* Passionate about working with huge datasets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets
* Communicate results to diverse audiences of varying technical backgrounds with effective writing visualizations and presentations


About the team
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.

AppStar DNA Team (Data & Analytics Engineering)
The AppStar DNA team supports the AppStar organization which is responsible for securing applications at Amazon. Our team is committed to building world-class data infrastructure that provides the foundation for analytics solutions enabling visibility into security performance and driving data-informed decision-making across security teams. We work with massive volumes of security data to deliver the infrastructure that powers insights with immediate influence on how Amazon secures its applications and protects customer trust.

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 theres nothing we cant achieve.

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 and 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.


- 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
- Masters degree in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)
- Experience applying theoretical models in an applied environment

- 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
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team cross-disciplinary projects

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 NY New York - 153400.00 - 207500.00 USD annually