Applied Scientist, MOP (Modeling and Optimization Planning)

Amazon Science; Bellevue (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

RSUs

Paid time off

Job summary

Amazon GDS-MOP Science is seeking an Applied Scientist with strong operations research and optimization expertise to develop production solutions for labor capacity planning across the Fulfillment Network. You will build optimization, statistics, machine learning, and GenAI/LLM solutions that power Amazon Labor Planning systems (ALPS) in centers worldwide.

You will collaborate with scientists, software engineers, product managers, and ops leaders to develop optimization-driven solutions, create

Qualifications

• PhD or MS with 4+ years of CS/CE/ML related experience.
• Experience building models for business applications.
• Proficiency in Java, C++, Python or related languages.

Responsibilities

• Develop understanding of operational processes and business requirements.
• Analyze data and code to identify improvement opportunities.
• Develop scalable mathematical models for production systems.
• Create prototypes and simulations for agile experimentation.
• Collaborate with engineers to deploy prototypes into production.
• Design experiments and build metrics to track performance.

Skills

Java

C++

Python

Optimization

Education

PhD in CS/CE/ML or related field

MS in CS/CE/ML

Tools

Gurobi

Python data libraries

Job description

Description

Amazon GDS-MOP (modeling, Optimization and Planning) Science team is seeking an exceptional Applied Scientist with strong operations research and optimization expertise to develop production solutions for one of the most complex systems in the world: Amazon's Fulfillment Network labor capacity planning. At MOP Science, we design, build, and deploy optimization, statistics, machine learning, and GenAI/LLM solutions that power Amazon Labor Planning systems (ALPS) running across Amazon Fulfillment Centers worldwide. We solve a wide range of challenges encountered throughout the network, including labor planning and staffing, pick scheduling, stow guidance, and capacity risk management. We are tasked with developing innovative, scalable, and reliable science-driven production solutions that exceed the published state of the art, enabling systems to run frequently (ranging from every few minutes to every few hours per use case) and continuously across our large-scale network.

Key job responsibilities

As an Applied Scientist, you will collaborate with other scientists, software engineers, product managers, and operations leaders to develop optimization-driven solutions using a variety of tools and observe direct impact on process efficiency and associate experience in the fulfillment network. Key responsibilities include:

• Develop understanding and domain knowledge of operational processes, system architecture and functions, and business requirements
• Deep dive into data and code to identify opportunities for continuous improvement and/or disruptive new approaches
• Develop scalable mathematical models for production systems to derive optimal or near-optimal solutions for existing and new challenges
• Create prototypes and simulations for agile experimentation of devised solutions
• Advocate for technical solutions with business stakeholders, engineering teams, and senior leadership
• Partner with engineers to integrate prototypes into production systems
• Design experiments to test new or incremental solutions launched in production and build metrics to track performance

About The Team

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

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

Basic Qualifications

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• 3+ years of building models for business application experience
• 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

Preferred Qualifications

• Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually