Data Scientist, AWS Security

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Job summary
Come and build innovative services that protect our cloud from security threats.

As an AWS Security Data Scientist, you’ll help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon’s infrastructure. You’ll work with security engineers, software development engineers, and other data scientists across multiple teams to develop innovative security solutions at massive scale. Our services protect the AWS cloud for all customers and preserves our customers’ trust in us. You’ll get to use the full power and breadth of AWS technologies to build services that proactively protect every single AWS customer, both internally and externally, from security threats – not many teams can say that!

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

BASIC QUALIFICATIONS

• BS degree and 3 years of relevant experience or MS degree and 2 years of experience
• Hands-on professional experience with applying machine learning and other data science techniques to mitigate threats at scale in a production environment
• 2+ years of work experience in applying data science to physical security, network security, or fraud related problems
• Industry experience using database languages, such as SQL, and common data science software development and statistical analysis tools (e.g., Python, R, Scikit-learn)
• Demonstrated technical leadership in data science and/or machine learning (e.g., tech lead, data science leader, led analytic development effort, etc.)
• Experience leading and coaching junior data scientists to improve their skills and effectiveness

PREFERRED QUALIFICATIONS

• MS or PhD in a STEM field
• Experience extracting large sets of data, and designing ETL flows
• Experience designing and deploying large scale analytic processing solutions using Spark, Scala, etc.
• Strong sense of ownership combined with collaborative approach to overcoming challenges and influencing organizational change
• Meets/exceeds Amazon’s leadership principles requirements for this role
• Meets/exceeds Amazon’s functional/technical depth and complexity for this role