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

Amazon • Seattle, WA

2d

About The Position

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.

Requirements

• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language

Nice To Haves

• 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.
• strong publication record in top-tier conferences/journals (INFORMS, EC, WINE, ICML, NeurIPS, etc.)
• experience coordinating cross-functional projects
• hands-on experience building science solutions that apply optimization techniques to mechanism design problems (e.g., optimal auction design, welfare maximization under constraints)
• expertise in statistical learning and algorithm development

Responsibilities

• lead large-scale science initiatives from research to production
• translate complex business problems into mathematical frameworks
• design and implement large-scale optimization algorithms for complex supply chain and marketplace problems
• design incentive-compatible mechanisms for marketplace challenges including auction design, matching algorithms, and pricing strategies
• driving technical strategy and roadmap for complex initiatives
• influencing senior stakeholders and shaping technical direction
• mentoring 2-4 junior scientists and fostering team growth
• collaborating effectively across functions to deliver measurable business impact

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree