Optimization Scientist II, Fulfillment Solutions

2 weeks ago


Bellevue, Washington, United States Amazon Full time
Overview
The Amazon Fulfillment Technologies (AFT) Science team is seeking a talented Applied Scientist with robust optimization and analytical capabilities to create production solutions for one of the most intricate systems globally: Amazon's Fulfillment Network.

About AFT Science
At AFT Science, we engineer, construct, and implement optimization, simulation, and machine learning solutions that drive the production systems operating at Amazon Fulfillment Centers worldwide. We tackle a variety of challenges faced within the network, such as labor planning, demand prioritization, pick assignment, scheduling, and process flow optimization.

Key Responsibilities
As an Applied Scientist, you will collaborate with fellow scientists, software engineers, product managers, and operations leaders to devise scientific solutions and analytics utilizing diverse tools, directly impacting process efficiency and associate experience within the fulfillment network.

  • Acquire a deep understanding of operational processes, system architecture, and business requirements.
  • Analyze data and code to uncover opportunities for continuous enhancement or innovative approaches.
  • Develop scalable mathematical models for production systems to achieve optimal or near-optimal solutions for both existing and new challenges.
  • Create prototypes and simulations for agile experimentation of proposed solutions.
  • Promote technical solutions to business stakeholders, engineering teams, and senior leadership.
  • Collaborate with engineers to integrate prototypes into production systems.
  • Design experiments to evaluate new or incremental solutions launched in production and establish metrics to monitor performance.

A Day in the Life
Amazon provides a comprehensive range of benefits that support you and eligible family members, including domestic partners and their children. Benefits may vary based on location, hours worked, length of employment, and job status such as seasonal or temporary employment. Typical benefits for regular, full-time employees include:
  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • 401(k) Plan

If you feel that not every qualification on the list above describes you precisely, we still encourage you to reach out. At Amazon, we value individuals with diverse backgrounds, experiences, and skill sets.

About the Team
The Amazon Fulfillment Technology (AFT) team designs, develops, and operates end-to-end fulfillment technology solutions for all Amazon Fulfillment Centers (FC). We synchronize the physical and virtual realms to ensure Amazon customers receive their orders promptly.

The AFT Science team specializes in operations research, optimization, scheduling, planning, simulation, and machine learning, with a strong understanding of operational processes within the FCs. We prioritize advancements that support AFT tech teams and focus areas rather than specific fields of research or individual business partners.

We influence every stage of innovation from inception to deployment, which includes both developing novel solutions and enhancing existing methodologies. Our production systems rely on a diverse array of technologies, and our teams invest in multiple specialties as the needs of each focus area evolve.

Minimum Qualifications
  • PhD or Master's degree with 4+ years of experience in science, technology, engineering, or a related field.
  • 3+ years of experience in building models for business applications.
  • Proficiency in programming languages such as Java, C++, Python, or related languages.
  • Relevant industry or academic applied research experience in operations research, optimization, machine learning, statistics, or a comparable field.

Preferred Qualifications
  • PhD with applied research experience and expertise in Operations Research, Optimization, Machine Learning, Statistics, or a related field.
  • Experience in large-scale optimization and decomposition techniques, as well as planning and scheduling challenges.
  • Experience in building machine learning models and developing algorithms for business applications.
  • Experience in developing and deploying code for production systems.
  • Experience with exploratory data analysis and experimental design.

Amazon is dedicated to fostering a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit our website.

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