Senior Applied Scientist, Amazon Stores Economics & Science (SEAS)

Amazon

Seattle, WA

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JOB DETAILS

SKILLS

Academic Research, Algorithms, Apache Hadoop, Apache Spark, C++ Programming Language, Communication Skills, Conferences, Cross-Functional, Data Analysis, Data Mining, Distributed Computing, Econometrics, Economics, Industrial Engineering, Java, Large-Scale Systems, Leadership, Machine Learning, Mathematics, Mentoring, Operations Research, Optimization Algorithm, Presentation/Verbal Skills, Problem Solving Skills, Process Control Engineering, Product Pricing, Publications, Python Programming/Scripting Language, R Programming Language, Sales, Scalable System Development, Scientific Research, Statistical Algorithms, Statistical Learning Theory, Statistics, Supply Chain, Technical Strategy

LOCATION

Seattle, WA

POSTED

25 days ago

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 driving technical strategy and roadmap for complex initiatives, influencing senior stakeholders and shaping technical direction, mentoring 2-4 junior scientists and fostering team growth, and collaborating effectively across functions to deliver measurable business impact. Basic Qualifications - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - PhD in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field, or PhD and 5+ years of industry or academic research experience - Experience in at least one of the related science disciplines (optimization - LP, MIP, statistics, machine learning, process control, combinatorial optimization) - Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production - Experience effectively communicating complex concepts through written and verbal communication Preferred Qualifications - 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. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Mountain View - 192,200.00 - 260,000.00 USD annually USA, NY, New York - 183,800.00 - 248,700.00 USD annually USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

About the Company

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1994

WEBSITE

http://Amazon.com/militaryroles

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