Amazon.com Services LLC
Machine Learning Science, Applied Science, core ai
SeniorAppliedScientist,AmazonStoresEconomics&Science(SEAS)
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“Senior Applied Scientist, Amazon Stores Economics & Science (SEAS) at Amazon.com Services LLC. Skills: Applied Science, Economics, Optimization, Mechanism Design. Lead large-scale science initiatives. Translate complex business problems into mathematical frameworks”
What You'll Achieve.
Deliver measurable business impact
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Master's degree and 6+ years of applied research experience, Experience programming in Java, C++, Python or related language
Nice to Have
PhD preferred, Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc., Experience with large scale distributed systems such as Hadoop, Spark etc., Cloud platform certs
What You'll Do.
Lead large-scale science initiatives
Translate complex business problems into mathematical frameworks
Design and implement large-scale optimization algorithms
Design incentive-compatible mechanisms
Drive technical strategy
Shape technical direction
Mentor junior scientists
Deliver measurable business impact
How You'll Work.
Team & Collaboration
Cross-functional projects; Across functions
Full Job Description
Stores Economics and Science (SEAS) is an interdisciplinary science and engineering team in Amazon's Stores organization with a peak-jumping mission: we apply expertise in science and engineering to move from local to global optima in methods, models, and software. We pursue this mission by leveraging frontier science; collaborating with partner teams; and learning from the tools, experience, and perspective of others. We scale by solving problems, first in the small to prove concepts, and then in the large by building scalable solutions. We also help other teams within Amazon scale by hiring and developing the best and embedding them in other business units. We are team of passionate Applied Scientists, Research Scientists, and Economists collaborating to uncover, formulate, and solve big bet issues for broader Stores organization, including marketplace efficiency, seller incentive design, and inventory optimization. We are seeking to add another member to our team who thrives in inter-disciplinary, ambiguous, and high visibility environments. Key job responsibilities The successful candidate will lead large-scale science initiatives from research to production and translate complex business problems into mathematical frameworks. They will design and implement large-scale optimization algorithms for complex supply chain and marketplace problems, and design incentive-compatible mechanisms for marketplace challenges including auction design, matching algorithms, and pricing strategies. The ideal candidate will have a strong publication record in top-tier conferences/journals (INFORMS, EC, WINE, ICML, NeurIPS, etc.) and experience coordinating cross-functional projects. They should have hands-on experience building science solutions that apply optimization techniques to mechanism design problems (e.g., optimal auction design, welfare maximization under constraints), with expertise in statistical learning and algorithm development. Leadership responsibilities include d
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