Data Scientist, AWS Security

DESCRIPTION

Amazon Web Services (AWS) Security seeks a passionate and innovative Data Scientist for the AWS Vulnerability Management (AVM) team. At AWS, security is job zero, and our AVM team leads the way in securing our cloud services. We continuously raise the bar for security by blending analytics, data science, cybersecurity skills, and technical expertise to protect our customers and the cloud. We are data-driven, set big goals, and are always challenging ourselves and each other to identify better solutions and take on new challenges. We build automated mechanisms to detect vulnerabilities, asses risk, and mitigate risk across AWS.

As a Data Scientist you will build algorithms and automation with GenAI and ML techniques to analyze billions of data points daily. We are still Day 1 and have an exciting road map to build Machine Learning (ML) and Generative AI (LLM) powered detection and resolution systems to help scale Amazon for years to come.

We are seeking an AWSome Applied Scientist to join our team and help tackle challenging problems at the forefront of machine learning and artificial intelligence. Working closely with a multidisciplinary team of engineers, data scientists, and domain experts, you will play a crucial role in pioneering ML/AI-powered customer experiences and solutions. If you have an entrepreneurial mindset, the technical depth to deliver impactful results, and a passion for innovation, we want to hear from you.

Key job responsibilities

• Drive the research, design, and development of novel ML/AI models and systems to power critical products and services

• Collaborate cross-functionally to deeply understand business requirements, customer needs, and technical constraints

• Rapidly prototype, test, and iterate on ML/AI solutions, iterating quickly based on data and feedback

• Communicate complex technical concepts to technical and non-technical stakeholders • Mentor and grow a team of talented ML scientists and engineers

• Stay up-to-date on the latest advancements in AI/ML and identify opportunities to apply emerging techniques

A day in the life

1. Starting the day by reviewing the latest model performance metrics and identifying areas for improvement

2. Brainstorming new ML architectures and approaches with your cross-functional team during a whiteboard session

3. Diving deep into a complex dataset, leveraging advanced statistical and ML techniques to uncover hidden insights

4. Prototyping a new ML model and running a series of experiments to optimize its performance

5. Preparing a presentation to pitch your latest research findings with your customers and making joint recommendations to product and engineering leaders for how to improve the security program at scale.

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

• 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

• Experience applying theoretical models in an applied environment

PREFERRED QUALIFICATIONS

• Experience in Python, Perl, or another scripting language

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

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.

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.