Research Scientist, GES NA Ops Engineering

Amazon created one of the most sophisticated supply chains in the world. From the introduction of Amazon Prime to the use of advanced technology for package delivery Amazon consistently drives change from the front of the pack.

Amazon is seeking a detail oriented Research Scientist to focus on simulation to assist with process improvement and facility design initiatives in our North American fulfillment network. Successful candidates will be natural self-starters who have the drive to design model and simulate new fulfillment center conception and design processes.

The Research Scientist will be expected to deeply investigate complex problems and drive relentlessly towards innovative solutions. This role requires collaboration with cross-functional teams to develop and integrate advanced computer vision technologies that detect operational anomalies in real-time improve equipment reliability and enhance process efficiency. Key responsibilities include applying computer vision data modeling optimization techniques and advanced analytics (e.g. statistical analysis regression DOE) to drive data-informed decisions on processes and designs integrating new solutions into daily workflows to enable proactive interventions and reduce manual troubleshooting and demonstrating strong technical expertise problem-solving skills and the ability to work effectively across the organization. The ideal candidate will have a track record of delivering impactful technology-driven solutions through analytical rigor and creative thinking.

This role requires a strong passion for customers a high level of comfort navigating ambiguity and a keen sense of ownership and drive to deliver results. The ideal candidate will have experience in Science work business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities in sourcing processes. Excellent business and communication skills are a must to develop and define key business questions and to build data sets. You should have demonstrated ability to think strategically and analytically about business product and technical challenges.
You must be responsive flexible and able to succeed within an open collaborative environment. Amazons culture encourages innovation and expects to take a high-level of ownership in solving complex problems.
Come help us make history!

Key job responsibilities
- Applying computer vision technologies to detect operational anomalies in real-time the Research Scientist will be responsible for developing solutions that improve equipment reliability and process efficiency. These innovative capabilities will be integrated into daily workflows to enable proactive interventions and reduce manual troubleshooting driving measurable improvements across the organization.
- Design develop and simulate engineering solutions for complex material handling challenges considering human/equipment interactions for the North America fulfillment network
- Retrieve synthesize and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
- Analyze historical data to identify trends and support decision making.
- Provide requirements to develop analytic capabilities platforms and pipelines.
- Design size and analyze field experiments at scale.
- Build decision-making models and propose solution for the business problem you defined. This may include delivery of algorithms to be used in production systems.
- Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.
- Utilize code (python or another object oriented language) for data analyzing and modeling algorithm
- Develop document and update simulation standards including standard results reports
- Create basic to highly advanced models and run what-if scenarios to help drive to optimal solutions
- Analyze historical data to identify trends and support decision making.
- Apply statistical or machine learning knowledge to specific business problems and data.
- Improve upon existing methodologies by developing new data sources testing model enhancements and fine-tuning model parameters.
- Provide requirements to develop analytic capabilities platforms and pipeline
- In-Office 5 Days per week (RTO)
- Ability to travel up to 10%

A day in the life
Amazon Benefits:
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:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skill sets. If youre passionate about this role and want to make an impact on a global scale please apply!

About the team
The Science & Advance Concepts (SAC) Team is responsible for optimizing material handling operations enhancing automation and driving innovation through Simulation/Emulation Data Integrity/Analysis and Pilot Development for existing first and middle mile buildings.

- Masters degree or equivalent in econometrics statistics industrial engineering operations research optimization data mining analytics or equivalent quantitative field
- 2 years of building quantitative solutions as a scientist or science manager experience
- Experience in data mining (SQL ETL data warehouse etc.) and using databases in a business environment with large-scale complex datasets
- Expertise in at least one of the following areas: Discrete Event Simulation Linear Programming Natural Language Processing and Computer Vision.
- 2 years strong coding skills in C Python or any other scripting languages

- PhD in econometrics statistics industrial engineering operations research optimization data mining analytics or equivalent quantitative field or PhD and 5 years of industry or academic research experience
- Experience communicating research findings and analysis in both written and spoken channels
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with unstructured textual data
- Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists engineering teams and business audiences

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 for more information. If the country/region youre applying in isnt 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 WA Bellevue - 125500.00 - 169800.00 USD annually