AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Our Networking Analytics vision is to provide our customers a flawless experience when utilizing the network. With one of the Earth's largest networks, at our scale, unfortunately, there is always something breaking or failing. The first step in achieving this vision is by utilizing our vast amounts of data to gain insights on what to develop to enable the perfect network for our customers. Our internal customers are service teams such as S3, EC2, Lambda, RDS, as well as the amazon.com website, with our external customers being all retail/paying customers of AWS. The network is the core of AWS with this role critical to improve our customer experience.
Networking Analytics is looking for an experienced Data Scientist to be a part of a team solving complex data processing problems generating latency insights (building using big data, ML and potentially AI). This is a blue-sky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build simulations and experimentation systems at scale, build optimization algorithms across Amazon. This is an opportunity to think big about how to solve a challenging problem for our customers and understand their requirements for products.
You will work closely with network engineers and technical leaders throughout Networking, and will be responsible for influencing technical decisions that you identify as critical to reduce the impact of failures on the network. You will identify both enablers and blockers of adoption for the Networking organisation, and will build programs to raise the bar in terms of actions that networking teams can take to reduce or prevent the impact for our customers as we continue to mitigate impact.
The ideal candidate will have extensive experience in science work, business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities in sourcing processes. Excellent business and communication skills are a must to develop and define key business questions and to build data sets that answer those questions. You should have a demonstrated ability to think strategically and analytically about business, product, and technical challenges. Further, you must have the ability to build and communicate compelling value propositions, and work across the organisation to achieve consensus. This role requires a strong passion for customers, a high level of comfort navigating ambiguity, and a keen sense of ownership and drive to deliver results.
Key job responsibilities
Data Scientist work closely with Data Engineers to design and run experiments, research new algorithms, and find new ways to improve analytics to optimize the customer experience. Data Scientists partner with Network Development Engineer to solve business and technology problems using scientific approaches to build new services. Science at Amazon is a highly experimental activity. Scientists work closely with Software engineers to put algorithms into practice. They also work on cross-disciplinary efforts with other scientist within Amazon worldwide.
A day in the life
- Analyze complex and interrelated datasets describing Network/customer behavior, Data Centre, routing and any sort of networking related activities
- Apply statistical or machine learning knowledge to specific business problems and data
- Measure impact of deployed solutions and apply different measurement technique to evaluate outcome for data driven decision
- Propose Data Science solutions, create prototypes and simulations to test them
- Work closely with data engineers and software development engineers to integrate prototypes into production systems
- Utilize code (SQL/Python/R) for data analyzes and modeling algorithms (including tensorflow, etc, open source packages)
- Advocate technical solutions to business stakeholders, engineering teams, as well as executive level decision makers
- Prepare statistical analyses, error analyses, business reports
- Contribute to process improvements, data infrastructure/pipeline development
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all 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.
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
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
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.
The SIGNAL team is the Data team within the Core networking team. We own data platform, data mesh and data insights. The team is the centre of excellence for all things data. We also provide science support to solve networking problems. We are opportunist across different networking team and use science to solve problem efficiently and effectively which ultimately help drive the best customer experience for AWS Network.- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
