Applied Research Scientist II, Logistics Technologies

2 weeks ago

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

Role Summary
At AFT Science, we innovate, construct, and implement optimization, simulation, and machine learning solutions that enhance the operational systems functioning at Amazon Fulfillment Centers worldwide. Our team tackles a diverse array of challenges 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 various tools, directly impacting process efficiency and associate experience within the fulfillment network.

  • Gain a comprehensive understanding of operational processes, system architecture, and business requirements.
  • Analyze data and code to uncover opportunities for continuous improvement or innovative approaches.
  • Develop scalable mathematical models for production systems to derive 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, the number of regularly scheduled hours worked, length of employment, and job status such as seasonal or temporary employment. Common 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 perfectly, we still encourage you to reach out. At Amazon, we appreciate individuals with diverse backgrounds, experiences, and skill sets.

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

The AFT Science team possesses expertise in operations research, optimization, scheduling, planning, simulation, and machine learning, along with in-depth knowledge 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 set 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 an equivalent 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 problems.
  • 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.

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