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

Amazon • Seattle, WA

42d

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.

Distributed Optimization Team within SEAS tackles with complex, cross
organizational, and multi-disciplinary supply chain problems. We are team of
passionate Applied Scientists, Research Scientists, and Economists collaborating
to uncover, formulate, and solve big bet issues for broader Stores organization.
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
• 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

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.

Responsibilities

• Lead end-to-end technical initiatives from research to production
• Build and deploy large-scale optimization systems
• Translate complex business problems into mathematical frameworks
• Drive technical strategy and roadmap for complex initiatives
• Influence senior stakeholders and shaping technical direction
• Mentor junior scientists and fostering team growth
• Collaborate effectively across functions to deliver 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