Optimization Scientist II, Fulfillment Solutions

2 weeks ago

Bellevue, Washington, United States Amazon Full time

Overview

The Amazon Fulfillment Technologies (AFT) Science team is in search of a highly skilled Applied Scientist, proficient in optimization and analytical methodologies, to devise production solutions for one of the most intricate systems globally: Amazon's Fulfillment Network. Within AFT Science, we conceptualize, construct, and implement optimization, simulation, and machine learning solutions that enhance the operational systems at Amazon Fulfillment Centers worldwide. Our team addresses a diverse array of challenges faced in the network, such as labor planning, demand prioritization, scheduling, and process flow optimization.

Key Responsibilities

As an Applied Scientist, you will collaborate with fellow scientists, software developers, product managers, and operations leaders to create scientific solutions and analytics utilizing various tools, directly impacting process efficiency and employee experience within the fulfillment network. Your primary responsibilities will include:

  • Gaining a comprehensive understanding of operational processes, system architecture, and business requirements.
  • Conducting in-depth analyses of data and code to pinpoint opportunities for continuous enhancement or innovative approaches.
  • Formulating scalable mathematical models for production systems to achieve optimal or near-optimal solutions for both existing and emerging challenges.
  • Developing prototypes and simulations for agile experimentation of proposed solutions.
  • Promoting technical solutions to business stakeholders, engineering teams, and senior management.
  • Collaborating with engineers to integrate prototypes into production systems.
  • Designing experiments to evaluate new or incremental solutions launched in production and establishing metrics to monitor performance.

Benefits

Amazon provides a comprehensive range of benefits that support you and your eligible family members, including domestic partners and their children. Benefits may vary based on location, hours worked, length of employment, and job status. Generally applicable 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 possess a passion for this role and aspire to make a significant impact on a global scale, we encourage you to consider this opportunity.

About the Team

The Amazon Fulfillment Technology (AFT) team is responsible for designing, developing, and operating comprehensive fulfillment technology solutions for all Amazon Fulfillment Centers (FC). We integrate 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. We also possess domain expertise in the operational processes within the FCs and their challenges. Our focus is on advancements that support AFT tech teams and prioritize impactful solutions rather than specific research fields or individual business partners. We influence every stage of innovation, from inception to deployment, which includes both creating novel solutions and enhancing existing methodologies.

Qualifications

Basic 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 similar.
  • Relevant industry or academic applied research experience in operations research, optimization, machine learning, statistics, or a related 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 developing machine learning models and algorithms for business applications.
  • Experience in coding 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.

Our compensation reflects the cost of labor across various US geographic markets. The base pay for this position ranges based on market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company, offering equity, sign-on payments, and other forms of compensation as part of a comprehensive package, in addition to a full range of medical, financial, and other benefits.

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