About
Own the design, development, and maintenance of scalable models and prototypes leveraging statistical, machine learning, or GenAI methodologies to enhance employee experience. Partner with scientists, engineers, and product leaders to solve for employee experience defects using scientific approaches, building new services and tools that deliver measurable impact. Author and maintain detailed technical documentation related to the projects you drive. Communicate results to diverse audiences of varying technical background with effective writing, visualizations, and presentations. Stay current with emerging methods and technologies, and implement them strategically to amplify the team’s impact. About the Team
The Central Science Team within Amazon’s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science, engineering, and UX to develop and deliver solutions that measurably achieve this goal. Basic Qualifications
2+ years of data scientist experience. 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. 1+ years of guiding and coaching a group of researchers experience. 1+ years of working with or evaluating AI systems experience. 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience. Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM). Experience applying theoretical models in an applied environment. Preferred Qualifications
Ph.D. in Science, Technology, Engineering, or Mathematics (STEM). Knowledge of machine learning concepts and their application to reasoning and problem-solving. Experience in Python, Perl, or another scripting language. Experience in a ML or data scientist role with a large technology company. Experience in defining and creating benchmarks for assessing GenAI model performance. Experience working on multi-team, cross-disciplinary projects. Experience applying quantitative analysis to solve business problems and making data-driven business decisions. Experience effectively communicating complex concepts through written and verbal communication. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. In addition, Amazon will consider qualified applicants with arrest and conviction records pursuant to the Los Angeles County Fair Chance Ordinance and the San Francisco Fair Chance Ordinance. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . Posted: December 4, 2025 (Updated about 2 hours ago)
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Languages
- English
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