Junior Data Scientist: GenAI & ML for Employee Experience

Amazon Inc.; Boston (MA); On-site; USD 108,000 - 160,000; Full time

Benefits offered by this job

Sign-on payments

Restricted stock units (RSUs)

Health insurance (medical, dental, etc

401(k) matching

Paid time off

Parental leave

Job summary

The Central Science Team at Amazon in Boston, MA is seeking a data scientist to apply economics, behavioral science, statistics, ML, and GenAI to improve processes and employee experience. This onsite role blends rigorous analysis with product delivery and requires clear communication of complex methods.

You will design scalable models, collaborate with scientists and engineers, and document work while staying current with emerging techniques to drive measurable impact for Amazonians.

Qualifications

• 1+ years of experience with data querying languages (SQL) or scripting languages (Python) or statistical software (R/SAS/Matlab).
• 2+ years as a data/research scientist, statistician, or quantitative analyst in a data-rich internet company.
• 1+ years of experience creating or contributing to mathematical textbooks, research papers, or educational content.
• Master’s degree in a STEM field or equivalent STEM experience.

Responsibilities

• Design, develop, and maintain scalable models and prototypes using statistical, ML, or GenAI approaches.
• Collaborate with scientists, engineers, and product leaders to deliver measurable impact.
• Author and maintain detailed technical documentation for projects.

Skills

SQL

Python

R

SAS

Matlab

SPSS

S-PLUS

Education

Master’s degree in STEM

Tools

Hadoop

Spark

Map-reduce

Hive

Job description

The Central Science Team at Amazon in Boston, MA is seeking a data scientist to apply economics, behavioral science, statistics, ML, and GenAI to improve processes and employee experience. This onsite role blends rigorous analysis with product delivery and requires clear communication of complex methods.

You will design scalable models, collaborate with scientists and engineers, and document work while staying current with emerging techniques to drive measurable impact for Amazonians.