Overview As an Applied Scientist at AFT Science, you will design and automate optimization, simulation, and ML solutions for Amazon's Fulfillment Network. You'll work with cross-functional teams to improve process efficiency and associate experience at scale. You will build scalable models and prototypes, validate them with experiments, and help deploy production-ready solutions. This role offers the opportunity to tackle high-impact, real-world problems in a globally distributed fulfillment system.
Compensation / Benefits- Medical, Dental, and Vision
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
- RSUs
- Competitive health benefits
Responsibilities- Develop domain understanding of operational processes, system architecture, and business needs
- Deep dive data and code to identify improvement opportunities or disruptive approaches
- Create scalable mathematical models for production systems to derive optimal or near-optimal solutions
- Build prototypes and simulations for agile experimentation of devised solutions
- Advocate technical solutions to stakeholders and leadership
- Collaborate with engineers to integrate prototypes into production systems
- Design experiments and metrics to test new or incremental production solutions
- Partner with teams to drive impact on efficiency and associate experience
Key requirements- PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience
- 2+ years of building models for business applications
- Experience programming in Java, C++, Python or related language
- Applied research experience in operations research, optimization, machine learning, statistics or related field
- Effective communication with stakeholders
- Strong collaboration across cross-functional teams
- Analytical mindset with problem-solving drive
- Operations research
- Optimization
- Machine learning
