Amazon's Supply Chain Optimization Technologies (SCOT) group is seeking a Senior Applied Scientist with Reinforcement Learning (RL) experience to make significant contributions to the field through hands-on research in RL, impacting global inventory planning systems and influencing decisions affecting billions of dollars worth of inventory.
Requirements
- 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Experience with statistical models e.g. multinomial logistic regression
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
Responsibilities
- Analysis of large amounts of data from different parts of the supply chain and their associated business functions
- Improving upon existing machine learning methodologies by developing new data sources, developing and testing model enhancements, running computational experiments, and fine-tuning model parameters for new models
- Formalizing assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them
- Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations
- Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical and machine learning models and algorithms
Other
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience
- Experience as a leader and mentor on a data science team
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
- The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market.
