Data Scientist I

In the Central Science Team within Amazon’s People Experience and Technology org (PXTCS), this role focuses on applying economics, behavioral science, statistics, machine learning, and Generative AI to spot opportunities for process improvement in ways that support Amazon and the people who work there. You will design, develop, and maintain scalable statistical, machine learning, or GenAI models and prototypes, partnering closely with scientists, engineers, and product leaders to turn research into measurable impact.

Based in Boston, MA, this onsite position supports work that blends scientific rigor with product delivery, including clear technical communication and ongoing evaluation of emerging methods and technologies.

Key Responsibilities

• Own the design, development, and maintenance of scalable models and prototypes using statistical, machine learning, or GenAI approaches to improve employee experience.
• Collaborate with scientists, engineers, and product leaders to address employee experience defects using scientific methods, building new services and tools that can deliver measurable impact.
• Author and maintain detailed technical documentation for the projects you drive.
• Communicate results to audiences with varying technical backgrounds using effective writing, visualizations, and presentations.
• Stay current with emerging methods and technologies and implement them strategically to amplify team impact.

What You’ll Need

• 1+ years of experience with data querying languages (for example, SQL), scripting languages (for example, Python), or statistical/mathematical software (for example, R, SAS, Matlab, or etc.).
• 2+ years experience as a data/research scientist, statistician, or quantitative analyst in an internet-based company with complex and large data sources.
• 1+ years of experience creating or contributing to mathematical textbooks, research papers, or educational content.
• Master’s degree in a STEM field (Science, Technology, Engineering, or Mathematics), or equivalent experience working in STEM.

Tools and Technologies

• SQL, Python, R, SAS, Matlab, SPSS, S-PLUS
• Hadoop, Spark, Map-reduce, Hive

Preferred Qualifications

• Ph.D. in a STEM field.
• Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R.
• Knowledge of machine learning concepts and their application to reasoning and problem-solving.
• Experience with clustered data processing such as Hadoop, Spark, Map-reduce, and Hive.
• Experience working with or evaluating AI systems.
• Experience applying quantitative analysis to solve business problems and support data-driven decision-making.
• Experience communicating complex concepts through written and verbal communication.

Compensation and Location

The salary range for this role is USD 108,300 - 160,000 per year. The position is located in Boston, MA and is onsite.

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription), Basic Life & AD&D, 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

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 that enhance Amazon and the lives, well-being, and value of work to Amazonians. The team is interdisciplinary, combining science, engineering, and UX capabilities to develop and deliver solutions that measurably achieve this goal.