Applied Scientist, Stores Security
5 days ago
Job ID: | Amazon Development Center (Romania) S.R.L.
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.
In Stores Security, we develop authorization solutions using attribute-based access control (ABAC) to enable Amazon to enforce fine-grained access control (FGAC) on sensitive data.
We create logging solutions that generate access events from thousands of services for evidence collection.
Additionally, we implement rule-based and machine learning systems to monitor access to customer data, detect anomalous activities, and demonstrate compliance.
We are seeking a talented, self-directed Applied Scientist to work on leading-edge security technologies.
You'll design and run experiments, research new algorithms, and find new ways of protecting Amazon's customer trust.
Besides theoretical analysis and innovation, you will work closely with talented engineers to put your algorithms and models into practice.
You should thrive in ambiguous environments that require finding solutions to problems that have not been solved before.
You enjoy and succeed in fast-paced environments where learning new concepts quickly is a must.
You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience in building large-scale distributed systems.
Your strong communication skills enable you to work effectively with both business and technical partners.
Key job responsibilities:
Process and analyze large data sets using as many techniques as necessary.Deliver scalable models that can analyze large data sets efficiently.Build mathematical models to detect and classify specific data elements with high accuracy.Prototype these models by using high-level modeling languages such as Python.
A software team will be working with you to transform prototypes into production.Create, enhance, and maintain technical documentation, and present to other scientists and business leaders. BASIC QUALIFICATIONSPhD, or a Master's degree and experience building machine learning models or developing algorithms for business application.Experience in solving business problems through machine learning, data mining, and statistical algorithms.Experience in patents or publications at top-tier peer-reviewed conferences or journals.Experience programming in Java, C++, Python or related language.Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.PREFERRED QUALIFICATIONSExperience using Unix/Linux.Experience in professional software development.Amazon is an equal opportunities employer.
We believe passionately that employing a diverse workforce is central to our success.
We make recruiting decisions based on your experience and skills.
We value your passion to discover, invent, simplify and build.
Protecting your privacy and the security of your data is a longstanding top priority for Amazon.
Please consult our Privacy Notice ) to know more about how we collect, use and transfer the personal data of our candidates.
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 you're applying in isn't listed, please contact your Recruiting Partner.
Amazon is committed to a diverse and inclusive workplace.
Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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