Applied Scientist - EC2 Placement, EC2 Console Org

Key Skills

Java Programming, Python Programming, SQL, AWS, Openstack, NumPy, Pandas, SciPy, matplotlib

Job Description

Job summary

The EC2 Placement Team in Cape Town is looking for an Applied Scientist to help us solve some of the most interesting problems in the Amazon Elastic Compute Cloud (EC2) space.

Our services match our customers' instance requests to physical servers in our data-centers. This is a multi-dimensional optimization problem with massive customer and business impacts, and an incredible opportunity to work on cutting-edge problems at significant scale, and to build and own novel optimization systems.

Our team is dedicated in supporting new team members with a welcoming inclusive approach. We are a team that strives to grow each other in our careers through mentoring. Our team invent, design and build software that is stable and performant. We write and support code that is easy to understand with solutions that are pragmatic. We do this by keeping a high bar in code reviews that we take seriously. We believe good code reviews raise quality and a mechanism to instill high standards for growth.

We care about career growth. We follow a DevOps model and we try and assign projects and tasks based on what will help each team member develop into a more well rounded engineer that will enable them to take on more complex tasks in the future. As an Amazonian, you’ll enjoy interacting with some of the most talented engineers in our industry through breakfast talks and demos, internal communities and extensive training material that span all aspects of our business. Engineers in our teams have a strong sense of ownership and drive to innovate and have resounding impact in how we develop and deliver software at such a large scale.

This position involves on-call responsibilities. This is typically once every 6 weeks. We don’t like to be paged unnecessarily and we strive to keep this down and ensure our systems are fault tolerant. Our team values work-life balance and respect each others time.

We are looking for a new teammate who is enthusiastic, curious, empathic, motivated and reliable. We are just starting to scratch the surface of the opportunity in front of us and if this sounds like a place for you; come build with us.

BASIC QUALIFICATIONS

• Master's degree in a quantitative field or equivalent contribution and experience
• At least 4 years of hands-on work experience in data science
• Experience with Python and tools/frameworks in the analytics/ML ecosystem (e.g. numpy, pandas, matplotlib, SciPy stack) and working in Jupyter notebooks
• Experience in training co-workers

PREFERRED QUALIFICATIONS

• Experience working with large-scale distributed systems and data infrastructure
• Experience deploying and managing Machine Learning models into a high-scale production environment
• Experience working with AWS
• Project management experience desired for working on cross-functional project.