Applied Scientist, SCOT-Inbound Systems

About the role

As part of the IRR (Inventory Routing and Replenishment) organization within SCOT‑Inbound systems, Applied Scientists own algorithms that power inventory routing, replenishment, and modeling/simulation of Amazon’s fulfillment network using optimization and machine learning toolsets. We are looking for a talented applied scientist passionate about designing and implementing efficient, elegant scientific solutions for Amazon‑scale supply chain problems.

Responsibilities

• Design and develop advanced mathematical optimization and machine learning solutions in the domains of inventory optimization, distribution optimization, network design, and control theory.
• Use methods in learned and model‑based online and offline control techniques and algorithms to design efficient exact or heuristic solution methodologies for in‑house decision support tools and software.
• Research, prototype, simulate, and experiment with these models using programming languages such as Java and Python; participate in production‑level deployment.
• Closely work with software engineering teams and write well‑tested production Java/Python code for science modules within engineering‑managed services.
• Provide time‑sensitive on‑call support and high‑severity issue support when bugs are identified in production code.
• Improve code quality of legacy scientific production code.
• Create, enhance, and maintain technical documentation and science designs.
• Present to other Scientists, Product, and Software Engineering teams, as well as Stakeholders.
• Lead project plans from a scientific perspective by managing product features, technical risks, milestones, and launch plans.
• Influence the organization's long‑term roadmap and resourcing, onboard new technologies onto the Science team’s toolbox, and mentor other Scientists.

Requirements

• PhD in operations research, applied mathematics, theoretical computer science, or equivalent.
• Experience programming with at least one modern language such as Java, C++, or C# including object‑oriented design.
• Experience applying theoretical models in an applied environment.
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing.
• Experience building machine learning models or developing algorithms for business application.
• Experience with advanced use of 3P mathematical optimization software such as CPLEX/Gurobi/Xpress.

Preferred Qualifications

• Publications at top‑tier peer‑reviewed conferences or journals.
• 2+ years of building machine learning models or developing algorithms for business application.
• Experience in investigating, designing, prototyping, and delivering new and innovative system solutions.
• Experience in designing experiments and statistical analysis of results.

Pay

The base salary range for this position is $142,800.00 – $193,200.00 USD annually. 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.

Benefits

• 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
• Parental leave