Amazon · 8 hours ago
Research Scientist, GES NA Ops Engineering
Bellevue, WA
Full-time
Onsite
Mid, Senior Level
$126K/yr - $170K/yr
2+ years expAmazon is seeking a detail oriented Research Scientist to focus on simulation to assist with process improvement and facility design initiatives in their North American fulfillment network. The role involves collaborating with cross-functional teams to develop and integrate advanced computer vision technologies that enhance operational efficiency and reliability.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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
Qualification
Required
Master's 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
Preferred
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
Benefits
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan
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
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-25
2026-01-25
2026-01-25
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