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Location

Herndon, VA | United States

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Job description

DESCRIPTION

Are you interested in shaping the future of AWS? Do you want to be part of building something with massive impact? The Global Services, Security (GSS) team, a part of Amazon Web Services, leverages the expertise and ingenuity of our builders to establish scalable security solutions for both internal and external customers that drive business outcomes. Our goal of securing the world’s workloads and building a brighter future for humanity requires us to focus on reliable delivery of bar raising security outcomes and investment in security mechanisms and automation on behalf of our customers.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

Key job responsibilities
The GSS team is seeking a Senior Data Scientist to accelerate the use of Generative AI to solve business and operational challenges and promote innovation. As an applied scientist, you are proficient in designing and developing advanced ML models to solve diverse challenges and opportunities. In this role you are a talented scientist capable of applying ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches. GSS is responsible for delivering product-led, people-powered services that help our customers operate their business securely on AWS, and we are accelerating our adoption of AI/ML. This is a hands-on role where success is measured by producing solutions that have measurable impact.

• Design, develop, and evaluate innovative ML models to contribute at the intersection of AI/ML, cloud, and cyber security
• Envision, experiment, prototype, and mature to scale AI/ML solutions in our security products to meet the needs of our customers
• Work with multiple lines of business, and learn from (and contribute to) a variety of security use cases

About the team
Why AWS?

Diverse Experiences
AWS 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.

About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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 in the cloud.

Mentorship & 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, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords engineers options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices. Our hybrid models allow you the freedom to work from home whenever in-office collaboration isn’t necessary.

We are open to hiring candidates to work out of one of the following locations:

Herndon, VA, USA

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
- 5+ years of relevant experience in building large scale machine learning or deep learning models
- Experience in IT security, compliance, or risk management

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Salary