Applied Scientist, MOP (Modeling and Optimization Planning)

About the role

The 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 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) across Amazon Fulfillment Centers worldwide. We solve challenges including labor planning and staffing, pick scheduling, stow guidance, and capacity risk management, and are tasked with developing innovative, scalable, and reliable science-driven production solutions that run frequently (from every few minutes to every few hours per use case) and continuously across our large-scale network.

Responsibilities

• Collaborate with scientists, software engineers, product managers, and operations leaders to develop optimization-driven solutions with direct impact on process efficiency and associate experience in the fulfillment network.
• Develop understanding of operational processes, system architecture, functions, and business requirements.
• Deep dive into data and code to identify opportunities for continuous improvement and/or disruptive new approaches.
• Create 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 vary by location, hours, length of employment, and job status. Benefits generally applying to regular, full-time employees include medical, dental, and vision coverage; maternity and parental leave options; paid time off; and a 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 a 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.

Pay

USA, WA, Bellevue — $142,800.00 – $193,200.00 USD annually