About the Role
As a Senior Data Scientist at Amazon Web Services (AWS), you will be pivotal in building innovative services that protect our cloud from security threats. You will help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon's infrastructure. You will work alongside security engineers, software development engineers, and other data scientists across multiple teams to develop innovative security solutions at a massive scale. Our services protect the AWS cloud for all customers and preserve our customers' trust in us. You will have the opportunity to use the full power and breadth of AWS technologies to build services that proactively protect every single AWS customer, both internally and externally.
About Amazon Security
Amazon Security values diverse experiences. We encourage candidates from all backgrounds to apply, even if your career hasn't followed a traditional path. 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.
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. 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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
Basic Qualifications
- Experience working as a Data Scientist
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent)
- Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
- Experience applying theoretical models in an applied environment
Benefits Extracted with AI
- Work-life balance
- Training and career growth opportunities
- Inclusive team culture
- DEI events
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