Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
Job summary
How often have you had an opportunity to build a big business, solving significant customer problems through innovative technology, from the beginning?
The Customer Experience Insights and Analytic within the AWS network service organization is driving key business initiatives that will transform how we design maintain and operate AWS network.
We are looking for a passionate Data Scientist who can work comfortably with large volumes of data,create hypothesis, design experiments including defining research questions, identify data requirements, derive key insights, build and maintain statistical or machine learning (ML) models while maintaining the highest standards for security and operational excellence.
The successful candidate is one who loves working with engineering and business teams across an entire organization to understand their needs, and work with data professionals to design and build machine learning & advanced analytics solutions that enable our teams to more quickly and effectively gather actionable insights from our data. You are passionate about the data and you want to solve real business problems.
As a Data Scientist, you will be responsible for technical documentation of all experiments, requirements and outcomes. You will work within a team-based setting comprised of data engineers, network engineers, software developers to collectively take projects from ideation to final deployment. You will analyze data across multiple Amazon network data sources, apply the right machine learning models, and generate insights for senior leaders and business partners. You strive for simplicity, demonstrate creativity and sound judgement. You deliver advanced analytics data solutions that are customer focused, easy to consume and create business impact.
You should have extensive experience in the design, creation, management, and business use cases for advanced analytics data products leveraging extremely large datasets. You are experienced in building efficient and scalable machine learning capabilities and have the ability to integrate those with current Amazon networking tools and services to support a variety of customer use cases/applications.
Key job responsibilities
Key job responsibilities
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide a variety of basic abstract technical infrastructure and distributed computing building blocks and tools. One of these services is Amazon Elastic Compute Cloud (EC2).
Canberra ACT, Australia
2-4 year
Sydney NSW, Australia
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year