Jobs · Engineering · Washington

Data Scientist II, Amazon Fulfillment Technology (AFT) Science

Amazon Science · Bellevue, WA · 2 days ago
EngineeringFull-time

About the role

The Amazon Fulfillment Technologies (AFT) Science team is looking for an exceptional Data Scientist with strong analytical skills and a deep understanding of optimization to partner with scientists, engineers, product managers, and operations leaders. You will develop data-driven solutions for one of the most complex systems in the world: Amazon’s Fulfillment Network.

At AFT Science, we design, build, and deploy optimization, simulation, and machine learning solutions that power production systems across Amazon’s global Fulfillment Centers. We tackle a wide range of challenges in the network, including labor planning and staffing, demand prioritization, stow guidance, pick scheduling, and flow process optimization. Our mission is to create innovative, scalable, and reliable science-driven solutions that push beyond the state of the art, running frequently (from every few minutes to every few hours per use case) and continuously within our large-scale network.

Responsibilities

  • Work with scientists, software engineers, product managers, and operations leaders to develop scientific solutions and analytics that drive process efficiency and improve associate experience in the fulfillment network.
  • Design and conduct rigorous experimental design for production pilots to evaluate solution impact and improve model performance.
  • Lead the end-to-end lifecycle of forecasting models, from research and experimentation through production launch, including defining success metrics, obtaining stakeholder sign-off, and managing rollout.
  • Develop and deploy production-grade machine learning and statistical models using Python, Scala, SQL, and related tools.
  • Perform large-scale exploratory data analysis to uncover patterns, identify opportunities, and inform model development.
  • Translate complex scientific findings into clear insights and recommendations for technical and non-technical stakeholders at all levels.
  • Contribute to Amazon’s scientific community and the broader research field through collaboration and presentation in top-tier venues.

About the Team

Amazon Fulfillment Technology (AFT) designs, develops, and operates end-to-end fulfillment technology solutions for all Amazon Fulfillment Centers (FCs). We harmonize the physical and virtual worlds so Amazon customers can receive what they want, when they want it.

The AFT Science team brings together expertise in operations research, optimization, statistics, simulation, and machine learning, with deep domain knowledge of operational processes within FCs and their defects. We prioritize advancements that support AFT tech teams and focus areas, influencing every stage of innovation from inception to deployment—whether developing novel solutions or improving existing approaches. 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.

Basic Qualifications

  • Bachelor’s degree or above in a quantitative field, or Master’s degree.
  • 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
  • 3+ years of experience with machine learning/statistical modeling, data analysis tools and techniques, and understanding of parameters that affect their performance.
  • Experience processing, filtering, and presenting large quantities (hundreds of millions/billions of rows) of data.
  • Experience with forecasting and statistical analysis.

Preferred Qualifications

  • Experience in Python, Perl, or another scripting language.
  • 2+ years of experience implementing machine learning or optimization algorithms.
  • Ability to effectively communicate complex concepts through written and verbal communication.
  • Ability to write and maintain production-level code is a plus.
  • Experience maintaining end-to-end data pipelines and metrics at scale.
  • Experience working on multi-team, cross-disciplinary projects.

Pay

USA, WA, Bellevue — $136,000.00 – $184,000.00 USD annually

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