Principal Applied Scientist, CloudWatch, Amazon Intelligent Operations
DESCRIPTION
AWS Utility Computing (UC)provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UCorganization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
Come and build the future with us as we change the way the world sees the Cloud!
The CloudWatch team in Dublin is looking for a world class Principal Applied Scientist to lead our teams to create the next generation of AI based monitoring solution.
CloudWatch is the observability platform of AWS, built for developers, system operators, site reliability engineers (SRE), and IT managers. CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing a unified view of AWS resources, applications and services that run on AWS, and on-premises servers. Customers use CloudWatch to set high resolution alarms, visualize logs and metrics side by side, take automated actions, troubleshoot issues, and discover insights to optimize their applications, and ensure they are running smoothly.
CloudWatch is one of the largest real time data platforms in the world, processing more than 13 quadrillion metric observations per month! This requires teams in CloudWatch to innovate at an unprecedented scale. In CloudWatch we love giving customers what they want: high quality, highly usable, highly available services. It’s humbling and energizing to work with excellent, dedicated engineers to build and deliver world-leading service monitoring solutions at AWS scale.
We’re looking for the brightest minds who will invent, implement, and apply the state of the art machine learning algorithms and systems to our AI based monitoring solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus for CloudWatch and work with other world class scientists and engineers. You will also help us amplify the positive & inclusive team culture we’ve been building.
Key job responsibilities
As an Principal Applied Scientist, you will take on challenging and ambiguous customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic research or utilize your own out-of-the-box but pragmatic thinking. You will research and development of novel approaches for anomaly detection, root cause analysis, and provide intelligent insights from vast amounts of monitoring and observability data. You will collaborate with scientists and engineers across CloudWatch team as well as directly with customers. You will hire, develop, grow and mentor our junior scientists.
About the team
About AWS
Diverse Experiences
Amazon 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.
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.
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 and 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.
BASIC QUALIFICATIONS
• Ph.D. degree in Statistics, Computer Science, Applied Math, or a related field
• Hands-on experience in solving difficult machine learning problems
• Expert at more than one major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar)
• Demonstrated ability to serve as a technical lead
• Excellent writing skills for presenting business cases and scientific models with rigorous analyses that support results/conclusions to influence important decisions.
• Strong fundamentals in problem solving, algorithm design and complexity analysis
• Proven track in leading, mentoring, and growing teams of scientists
PREFERRED QUALIFICATIONS
• Deep technical knowledge of machine learning and statistical methodologies
• Experience with deep learning toolkits and frameworks
• Solid software development experience
• Algorithm and model development experience for large-scale applications
• Experience with defining research and development practices in an applied environment Excellent communication skills, both written and oral, with technical and business people.
• Professional traits, that are not unique to this position but are necessary for Amazon leaders, including exhibiting excellent judgment; maintaining relentlessly high standards; thinking strategically while staying on top of tactical execution; expecting innovation from collaborators; thinking big; having convictions; being results oriented; and inspiring passion in others about learning, research, and implementation
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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/content/en/how-we-hire/accommodations.