DESCRIPTION The Planning and Execution team (PLEX) is seeking a Research Scientist to build & improve mathematical optimization techniques and algorithms to support planning and execution activities throughout North America. PLEX is comprised of high-powered dynamic teams, which are shaping network execution through the development and application of innovative labor & flow planning mechanisms. Our goal is to improve and enhance the Amazon Fulfillment network to ultimately drive the best customer experience in a reliable and cost-efficient manner that is truly world-class.
As part of the PLEX organization, you'll partner closely with other scientists, engineers, and product teams in a collegial environment to build optimization strategies that will influence the performance of all North America Amazon Fulfillment networks. You will develop scientific models and perform complex mathematical research to accurately solve labor and flow planning problems, enhance automation, and provide value-added research to the business. You will continually iterate and identify new modeling and research opportunities to implement science into customer fulfillment planning processes.
We are looking for a passionate scientist with a commitment to innovation & teamwork. Successful candidates will have a deep knowledge of optimization techniques and ML methods to tackle complex science problems. You will have the communication skills necessary to impact and influence leadership & partner teams through technical writings, presentations and discussions. You will learn a lot, grow, and have fun in the process!
Innovation Opportunities & Career Growth
Our business grows fast and we want our employees growing with it too. We provide constant opportunities for growth in our team through regular training, talent development, mentoring, and mechanisms conducive to incubating ideas from the bottom up to showcase your innovations.
Inclusive Team Culture
Here at Amazon, we promote an inclusive and engaging environment. We understand the strength that unique experiences bring to the team and value it. In our team, we uphold that all individuals should feel included, respected, and developed.
Flexibility
It's not the hours that you put into work matters, rather it's the quality of work that you put in. We provide flexibility and support to help you find a balance between your work and personal lives.
This position will be based in Austin, TX We are open to hiring candidates to work out of one of the following locations:
- Austin, TX
- Bellevue, WA
- Nashville, TN
Key job responsibilities
- Create & improve mathematical optimization techniques & ML models for labor & flow planning
- Lead & partner with research, applied, and data science teams to improve accuracy of existing technology solutions and provide data driven recommendations for strategic model implementations
- Identify and thoroughly research external and previously non-considered factors to implement with advanced mathematics
- Simplify the scientific decisions by navigating through the technology complexities, explaining them in plain customer and business context to our partners & customers.
We are open to hiring candidates to work out of one of the following locations:
Austin, TX, USA | Bellevue, WA, USA | Nashville, TN, USA BASIC QUALIFICATIONS - PhD or Master's degree with 3+ years of experience in computer science, mathematics, statistics, machine learning or equivalent quantitative research field
- Experience in mathematical optimization, machine learning, statistics, and deep learning
- Experience working with cross-functional teams & stakeholders
- Experience analyzing both experimental and observational data sets
