Senior Data Scientist, Community Intelligence & AI Systems

Amazon; Arlington (VA); On-site; USD 159,000 - 215,000; Full time

Job summary

Amazon invites applications for a Senior Data Scientist role focused on Community Intelligence Science & Engineering. You will design production ML forecasting systems, build AI-powered analytics platforms, and collaborate across teams to translate insights into impactful operational decisions.

You will mentor junior scientists, publish technical work, and contribute to a culture that balances high‑risk innovation with reliable product delivery. Arlington, VA location preferred.

Qualifications

• 5 years of data querying languages (SQL) and scripting (Python) experience.
• 4 years of data science experience.
• Experience with statistical models e.g. multinomial logistic regression.
• Knowledge of AWS tech stack (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

Multinomial logistic regression

Statistical modeling

AWS knowledge

Tools

AWS Redshift

S3

EC2

Glue

SageMaker

Job description

Amazon invites applications for a Senior Data Scientist role focused on Community Intelligence Science & Engineering. You will design production ML forecasting systems, build AI-powered analytics platforms, and collaborate across teams to translate insights into impactful operational decisions.

You will mentor junior scientists, publish technical work, and contribute to a culture that balances high‑risk innovation with reliable product delivery. Arlington, VA location preferred.