Data Scientist I: Build AI-Powered Insights at Scale

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

Benefits offered by this job

Health insurance

Restricted stock units (RSUs)

Paid time off

Job summary

Amazon.com Services LLC is seeking a Data Scientist to transform complex data into actionable insights that influence Amazon's customer experience. You will build analytical models, test hypotheses, and drive measurable improvements at scale.

You will collaborate with business, science, and engineering teams to develop scalable analytics using Python, SQL, and R, while evaluating AI integrations to augment productivity and decision quality.

Qualifications

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

Responsibilities

• Translate well-defined business problems into data science solutions using statistics, ML, and data analysis to improve processes and systems.
• Gather, clean, and integrate large datasets from multiple sources to build and validate models with data integrity best practices.
• Design and deliver metrics, visualizations, and reports that compare results against benchmarks and original goals for stakeholders.
• Collaborate with business, science, and engineering teams to define needs and develop scalable analytical solutions using Python, R, or SQL.

Skills

SQL

Python/R

Mathematics/Statistics

STEM Mastery

Education

Master's degree in STEM

PhD in STEM (preferred)

Tools

Hadoop

Spark

MapReduce

Hive

Job description

Amazon.com Services LLC is seeking a Data Scientist to transform complex data into actionable insights that influence Amazon's customer experience. You will build analytical models, test hypotheses, and drive measurable improvements at scale.

You will collaborate with business, science, and engineering teams to develop scalable analytics using Python, SQL, and R, while evaluating AI integrations to augment productivity and decision quality.