- 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Master's degree, or Bachelor's degree
- Experience in Java, C++, Python, or a related language
- 1+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
As a member of the Threat Detection and Incident Response Practice in the AWS Global Services Security organization, you will have the opportunity to apply your problem-solving, mathematical and coding skills to manipulate data and extract valuable insights to help customers respond to security incidents. You will pioneer technically superb security intelligence solutions to help customers operate securely in the cloud, and, building on those experiences, you’ll collaborate with AWS service teams on new features, innovate with new technologies, and explore new challenges..
Key job responsibilities
- Conduct analyses, build robust automated dashboards and self-service analytics to empower AWS security teams to make decisions based on applicable insights
- Analyze data related to security events and malicious threat patterns to identify and measure the impact of different threat actor techniques
- Assist with data collection pertaining to areas such as cybersecurity and threat intelligence
- Identify data outliers that indicate novel Tactics, Techniques and Procedures
- Become a subject matter expert on threat actor techniques and tie the techniques to data driven analysis
- Collaborate on the design, building, and deployment of solutions to automate security operations and threat intelligence on AWS
- On-call required
A day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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 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.
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.
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 in the cloud.
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
- Experience in problem solving and data analytics
- Machine learning pipeline orchestration with AWS (SageMaker, Batch, Lambda, and Step Functions) or similar cloud-platforms
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
