Amazon Web Services, Inc.
Technology
SeniorAppliedScientist,EC2-OnhandCapacityOptimization
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“Senior Applied Scientist, EC2- Onhand Capacity Optimization at Amazon Web Services, Inc.. Skills: Applied optimization, Mathematical modeling, Algorithm development. Design decision-making algorithms. Implement decision-making algorithms”
What You'll Achieve.
Improve efficiency within capacity utilization; Improve existing cloud compute offerings; Define new cloud compute offerings; Impact the bottom line of EC2
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
PhD in operations research, 6+ years of relevant academic research or industry experience in developing algorithms, Publications in refereed academic journals or conference, In-depth knowledge of exact, approximation algorithms, and heuristic methods for solving difficult optimization problems, Experience in prototyping and developing software in traditional programming languages (Python, C++, Java etc.), Comfortable with SQL and experience with very large-scale dataset, Excellent writing skills to document the models and analyses and for presenting business cases with results/conclusions in order to influence important decisions, Experience leading large projects across cross functional teams
Nice to Have
Experience collaborating with engineers to deliver novel scientific solutions
What You'll Do.
Design decision-making algorithms
Implement decision-making algorithms
Scale decision-making algorithms
Optimize EC2's use of existing capacity
Optimize virtual instances placement
Model optimization problems
Prototype optimization solutions
Develop software in programming languages
Develop software for large-scale dataset
Document models and analyses
Present business cases
Review approaches by scientists and engineers
Mentor junior scientists
Lead junior scientists
Work with software development teams
Implement ideas in code
Write technical documents
Write business documents
Develop creative approaches
Develop novel approaches
Develop data-driven approaches
Improve cloud compute offerings
Define new cloud compute offerings
How You'll Work.
Team & Collaboration
Tight collaboration with engineering teams; Collaborating with other scientists; Collaborating with software engineers; Collaborating with product managers
Communication Scope
Presenting business cases; Communicating results
Process & Methodology
Lead large projects
Full Job Description
AWS Elastic Compute Cloud (EC2) Capacity Research and Engineering Org is looking for an experienced applied optimization expert. This leader will join the Onhand Packing Science team to design, implement, and scale decision-making algorithms to optimize EC2’s use of existing capacity. The team owns the optimization of all aspects of virtual instances placement across EC2, from high level supply shaping right down the final physical machine a customer’s instance gets allocated to. Given the sheer scale of EC2 any improvement efficiency within capacity is utilized has significant business impact. Key job responsibilities We are seeking an expert with a strong background in mathematical optimization with excellent modeling skills, with experience using both exact and heuristic methods. The domain requires a tight collaboration with engineering teams, to ensure we are able to quickly move from modelling and prototyping to full scale production usage. You should be confirmable with the needed statistical approaches for production A/B tests as well as have a solid understanding experimental design more broadly. Being successful in the role requires having the scientific breadth to understand the interactions between different phases of a project from data analysis through to production, including resolving issues after rollout. You will be hands-on with the mathematical modeling and implementation, and will also contribute to the design of the engineering system with the scalability, extensibility, maintainability, and correctness of the optimization engine in mind. You will review approaches by other scientists and engineers in terms of business relevance, technical validity, engineering / science interface, and computational performance. You will mentor and lead junior scientists by example. Communicating your results to guide the direction of the business and working with software development teams to implement your ideas in code is key to success. You will write techn
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