Data Scientist II, Amazon Fulfillment Technology (AFT) Science
Summary
Builds and deploys ML and optimization models to improve Amazon’s global fulfillment network, running pilots and A/B tests to drive efficiency and associate experience.
The Amazon Fulfillment Technologies (AFT) Science team is looking for an exceptional Data Scientist, with strong analytical skills and understanding of optimization, to partner with scientists, engineers, product managers, and operations leaders, and 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 to power the production systems running at world wide Amazon Fulfillment Centers. We solve a wide range of problems that are encountered in the network, including labor planning and staffing, demand prioritization, stow guidance, pick scheduling, and flow process optimization. We are tasked to develop innovative, scalable, and reliable science-driven solutions that are beyond the published state of art in order to run frequently (ranging from every few minutes to every few hours per use case) and continuously in our large scale network.
Key job responsibilities
As an Data Scientist, you will work with other scientists, software engineers, product managers, and operations leaders to develop scientific solutions and analytics using a variety of tools and observe direct impact to process efficiency and associate experience in the fulfillment network. Key responsibilities include:
- Design and conduct rigorous experimental design for production pilots to evaluate the impact of the solution 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 ML 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 science 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 the end-to-end fulfillment technology solutions for all Amazon Fulfillment Centers (FC). We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.
The AFT Science team has expertise in operations research, optimization, statistics, simulation, and machine learning. We also have domain expertise in the operational processes within the FCs and their defects. We prioritize advancements that support AFT tech teams and focus areas rather than specific fields of research or individual business partners. We influence each stage of innovation from inception to deployment which includes both developing novel solutions or improving existing approaches. Resulting production systems rely on a diverse set of technologies, our teams therefore invest in multiple specialties as the needs of each focus area evolves.
Key job responsibilities
As an Data Scientist, you will work with other scientists, software engineers, product managers, and operations leaders to develop scientific solutions and analytics using a variety of tools and observe direct impact to process efficiency and associate experience in the fulfillment network. Key responsibilities include:
- Design and conduct rigorous experimental design for production pilots to evaluate the impact of the solution 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 ML 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 science 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 the end-to-end fulfillment technology solutions for all Amazon Fulfillment Centers (FC). We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.
The AFT Science team has expertise in operations research, optimization, statistics, simulation, and machine learning. We also have domain expertise in the operational processes within the FCs and their defects. We prioritize advancements that support AFT tech teams and focus areas rather than specific fields of research or individual business partners. We influence each stage of innovation from inception to deployment which includes both developing novel solutions or improving existing approaches. Resulting production systems rely on a diverse set of technologies, our teams therefore invest in multiple specialties as the needs of each focus area evolves.