About The Position

Amazon.com strives to be Earth's most customer-centric company where customers can shop in our stores to find and discover anything they want to buy. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment. Amazon’s Long-Term Planning & Forecasting team is looking for passionate and talented individuals to help architect the future of the world's most advanced fulfillment network. This role will contribute to developing models that inform multi-billion-dollar investments in inventory, hiring, and other strategic decisions across our global stores. As an Applied Scientist on our team, you will drive multi-billion-dollar investment decisions that shape Amazon's global fulfillment strategy. You will pioneer innovative solutions using operations research, AI, machine learning and statistical techniques, directly influencing Amazon's ability to delight customers while optimizing billions in capital investments. Your insights and recommendations will be presented to the highest levels of senior leadership, helping guide company-wide strategy.

Requirements

  • 3+ years of building models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Nice To Haves

  • Experience using Unix/Linux
  • Experience in professional software development

Responsibilities

  • In this role, you will develop our next-generation regional fulfillment network planning system.
  • This involves creating sophisticated forecasting models that power network utilization decisions, transforming complex supply chain challenges into elegant mathematical solutions.
  • You will design and implement novel algorithms that optimize warehouse usage, inventory inbound timing, and labor planning.

Benefits

  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • 401(k) Plan

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

Ph.D. or professional degree

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service