Amazon Canada Fulfillment Services, ULC
E-commerce
SoftwareDevelopmentEngineer,PBISupplyChainInnovation
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Development Engineer, PBI Supply Chain Innovation at Amazon Canada Fulfillment Services, ULC. Skills: Machine Learning, Distributed systems, Software development. Solve technical problems. Own systems end-to-end”
What You'll Achieve.
Optimize supply chain network; Drive profitability; Derive actionable insights; Drive strategic business decisions; Improve operations; Build day one solutions; Bring models to life; Build necessary infrastructure; Ship code continuously; Improve customer experience
Industry & Context.
Data science; Statistics; Economics; Actionable insights; Business problems; Quantitative algorithms
What They're Looking For.
Must Have
3+ years professional software development, 2+ years system design or architecture, Experience programming one language
Nice to Have
3+ years full SDLC experience, Bachelor's degree computer science
What You'll Do.
Solve technical problems
Own systems end-to-end
Influence technology direction
Contribute to technical strategies
Influence quantitative algorithms
Design software to train models
Build software to train models
Involve with design teams
Involve with product teams
Create early prototypes
Transform prototypes into features
Write maintainable code
Perform peer code-reviews
Deep-dive into client systems
Deep-dive into server systems
Optimize for performance
Optimize for maintainability
Optimize for scalability
Optimize for extensibility
Propose innovative tools
Propose innovative frameworks
Propose innovative automations
Propose innovative processes
Promote engineering excellence
How You'll Work.
Team & Collaboration
Business leaders; Scientists; Economists; Applied science; Design teams; Product teams; Highly-engaged users
Communication Scope
Technical strategies; Vision; Architecture
Process & Methodology
Agile, Scrum
Full Job Description
Become a key member of the PBI Supply Chain Tech team that is helping Amazon Private Brands optimize the Amazon supply chain network to drive profitability through data science and code. Join our Private Brand Intelligence (PBI) organization in building Machine Learning solutions at scale. PBI applies Machine Learning, Statistics, and Economics to derive actionable insights about the complex economy of Amazon’s retail business. We also develop statistical models and algorithms to drive strategic business decisions and improve operations. We are an interdisciplinary team of Economists, Engineers, and Scientists incubating and building day one solutions using AI technology, to solve some of the toughest business problems at Amazon. You will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services. You will invent and implement scalable ML and econometric models while building tools to help our customers gain and apply insights. This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale economic problems, enable measurable actions on the Consumer economy, and work closely with scientists and economists. If you are interested in Machine Learning, large-scale, low-latency distributed systems and can build the software that use these models, this is the role you have been looking for. We are a Day 1 team, with a charter to be disruptive through the use of Machine Learning and bridge the Science and Engineering gaps that exist for engineers today. You will start on green field projects working with scientists to bring our models to life as well as the necessary infrastructure that other teams can benefit from. We are an inclusive team, and are looking for Software Development Engineers that aren't averse to learning and building and or optim
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