Amazon.com Services LLC
Research Science, Applied Science, operations
AppliedScientist,SCOT-InboundSystems
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist, SCOT-Inbound Systems at Amazon.com Services LLC. Skills: Optimization, Machine learning, Algorithm development, Supply chain. Own algorithms powering inventory routing. Own algorithms powering replenishment”
What You'll Achieve.
Improve code quality; Consistently improve customer experience; Publish novel solutions
Industry & Context.
Scientific solutions; Heuristic solution methodologies; Issue support; Root cause analysis
On-call support, High-severity issue support
What They're Looking For.
Must Have
PhD in operations research, applied mathematics, theoretical computer science, or equivalent, Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design, Experience applying theoretical models in an applied environment, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing, Experience building machine learning models, Experience developing algorithms for business application, Experience with advanced use of 3P mathematical optimization software such as cplex/gurobi/xpress
Nice to Have
Publications at top-tier peer-reviewed conferences or journals, 2+ years of building machine learning models, 2+ years of developing algorithms for business application, Experience in investigating, designing, prototyping, and delivering new and innovative system solutions, Experience in designing experiments, Experience in statistical analysis of results
What You'll Do.
Own algorithms powering inventory routing
Own algorithms powering replenishment
Own algorithms powering modeling/simulation
Design advanced mathematical optimization solutions
Design advanced machine learning solutions
Use methods in learned control techniques
Use methods in model-based control techniques
Design exact solution methodologies
Design heuristic solution methodologies
Experiment with models
Participate in production level deployment
Write production Java/Python code
Provide on-call support
Provide high-severity issue support
Improve code quality of legacy scientific production code
Create technical documentation
Enhance technical documentation
Maintain technical documentation
Create science designs
Enhance science designs
Maintain science designs
Present to Scientists
Present to Product teams
Present to Software Engineering teams
Present to Stakeholders
Manage product features
Manage technical risks
Influence organization's long-term roadmap
Influence organization's resourcing
Onboard new technologies
Mentor other Scientists
Engage with customers
Understand customer problems
Collaborate with product partners
Collaborate with peers
Design algorithmic solutions
Deliver algorithmic solutions
Implement solutions in Java
Deploy implementations
Measure impact of implementations
Contribute to product roadmap
Publish work in internal scientific community
Publish work in external scientific community
How You'll Work.
Team & Collaboration
Software engineering teams; Engineering-managed services; Product partners; Peers; Engineering partners; Cross-functional teams; Science team's toolbox
Communication Scope
Present to Scientists; Present to Product teams; Present to Software Engineering teams; Present to Stakeholders; Technical documentation; Science designs; Publish work
Process & Methodology
Lead project plans, Manage product features, Manage technical risks, Manage milestones, Manage launch plans
Full Job Description
As part of IRR (Inventory Routing and Replenishment) organization within SCOT-Inbound systems, Applied Scientists own algorithms powering inventory routing, replenishment, and modeling / simulation of Amazon's fulfillment network utilizing optimization and machine learning toolsets. We are looking for a talented applied scientist with a passion for designing and implementing efficient and elegant scientific solutions for Amazon-scale supply chain problems. Key job responsibilities - Design and develop advanced mathematical optimization and machine learning solutions in the domains of inventory optimization, distribution optimization, network design, and control theory. - Use methods in learned and model-based online and offline control techniques and algorithms to design efficient exact or heuristic solution methodologies to be used by in-house decision support tools and software. - Research, prototype, simulate, and experiment with these models using programming languages such as Java and Python; participate in the production level deployment. - Closely work with software engineering teams and write well-tested production Java/Python code for science modules within engineering-managed services. Provide time-sensitive on-call support and high-severity issue support when bugs are identified in production code. Improve code quality of legacy scientific production code. - Create, enhance, and maintain technical documentation and science designs. - Present to other Scientists, Product, and Software Engineering teams, as well as Stakeholders. - Lead project plans from a scientific perspective by managing product features, technical risks, milestones and launch plans. - Influence organization's long-term roadmap and resourcing, onboard new technologies onto Science team's toolbox, mentor other Scientists. A day in the life - Engage with customers to understand their problems. - Collaborate with product partners and peers to design and deliver algorithmic solutions to thes
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