Sr Applied Scientist, Amazon Fulfillment Tech - Science
About The Position
The Amazon Fulfillment Technologies (AFT) Science team is seeking an exceptional Sr. Applied Scientist with strong operations research and optimization expertise to develop production solutions for one of the most complex systems in the world: Amazon's Fulfillment Network. At AFT Science, we design, build, and deploy optimization, statistics, machine learning, and GenAI/LLM solutions that power production systems running across Amazon Fulfillment Centers worldwide. We tackle a wide range of challenges throughout the network, including labor planning and staffing, pick scheduling, stow guidance, and capacity risk management. Our mission is to develop innovative, scalable, and reliable science-driven production solutions that exceed the published state of the art, enabling systems to run optimally and continuously (from every few minutes to every few hours) across our large-scale network.
Requirements
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- 3+ years of building machine learning models for business application experience
- 3+ years of experience building and deploying optimization models for business applications at scale
- Excellent written and verbal communication skills, with the ability to convey complex technical concepts to diverse audiences
Nice To Haves
- PhD with 6+ years of industry applied research experience and expertise in Operations Research, Optimization, ML/AI, Statistics, or an equivalent field
- Demonstrated success translating research into production systems and deploying production-grade code
- Proven track record of leading, mentoring, and growing scientists
- Ability to thrive in a fast-paced team environment, delivering robust technical solutions with complex dependencies and cross-functional requirements
- Experience in fulfillment, supply chain, logistic systems
Responsibilities
- Develop deep understanding and domain knowledge of operational processes, system architecture, and business requirements
- Dive deep into data and code to identify opportunities for continuous improvement and disruptive new approaches
- Design and develop scalable mathematical models for production systems to derive optimal or near-optimal solutions for existing and emerging challenges
- Create prototypes and simulations for agile experimentation of proposed solutions
- Advocate for technical solutions with business stakeholders, engineering teams, and senior leadership
- Partner with software engineers to integrate prototypes into production systems
- Design and execute experiments to test new or incremental solutions launched in production
- Build and monitor metrics to track solution performance and business impact
Benefits
- sign-on payments
- restricted stock units (RSUs)
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
