Senior Data Scientist, Community Intelligence & AI

Amazon Inc.; New York (NY); Hybrid; USD 175,000 - 237,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Coverage

Paid Time Off (PTO)

401(k) Plan

Job summary

Amazon’s Community Intelligence Science & Engineering team analyzes how Amazon’s presence impacts local communities, blending AI with causal inference to shape operational models. You’ll design scalable ML forecasts and NLP/GenAI solutions, collaborating across Last Mile, WW Ops, and real estate groups to turn insights into action.

You’ll mentor data scientists, publish technical insights, and partner with engineering to productionize models using AWS services, driving impact across multiple

Qualifications

• 5+ years of data querying languages (SQL) or scripting languages (Python) or statistical/mathematical software (R, SAS, Matlab) experience.
• 4+ years of data scientist experience.
• Experience with statistical models e.g. multinomial logistic regression.
• Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue).
• Experience working with scientists, economists, software developers, or product managers.

Responsibilities

• Design and deploy production ML forecasting systems with extended prediction horizons using multi-modal data sources.
• Build and scale AI-powered analytics platforms that process large volumes of unstructured data from diverse sources including social media, traditional media, and internal systems.
• Collaborate with operational science teams to integrate analytical insights and predictive signals into existing operational models and decision-making systems.
• Build automated causal discovery systems leveraging knowledge graphs, LLMs, and document understanding to uncover relationships between business actions and outcomes.
• Develop NLP and GenAI applications including event detection, sentiment analysis, cross-platform clustering, and multilingual insight synthesis.
• Partner with engineering teams to productionize models using AWS services (SageMaker, EMR, Lambda, Kinesis, Glue) with clear POC-to-production handoff criteria.
• Mentor junior scientists and contribute to building a research culture that balances high-risk, high-reward innovation with reliable product delivery.
• Author internal and externally-facing scientific publications and technical documents.

Skills

SQL

Python

R

Tools

SAS

Matlab

AWS Redshift

S3

EC2

Glue

Job description

Amazon’s Community Intelligence Science & Engineering team analyzes how Amazon’s presence impacts local communities, blending AI with causal inference to shape operational models. You’ll design scalable ML forecasts and NLP/GenAI solutions, collaborating across Last Mile, WW Ops, and real estate groups to turn insights into action.

You’ll mentor data scientists, publish technical insights, and partner with engineering to productionize models using AWS services, driving impact across multiple