Senior Data Scientist, Community Intelligence & AI Insights

Amazon Inc.; New York, Northern (NY, KY); Hybride; USD 175 000 - 237 000; Plein temps

Résumé du poste

Amazon.com Services LLC is seeking a Senior Data Scientist III for the Community Intelligence Science & Engineering team in New York. You will design production ML forecasting systems and scale AI analytics while collaborating with cross‑functional teams across Last Mile, Middle Mile, and WW Ops to drive actionable community insights.

The role blends rigorous research with pragmatic deployment, mentoring junior scientists, publishing findings, and shaping senior leadership strategy through

Qualifications

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

Responsabilités

• 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.
• Collaborate with operational science teams to integrate analytical insights into models and decision systems.
• Build automated causal discovery systems leveraging knowledge graphs, LLMs, and document understanding.

Connaissances

SQL

Python

R

Matlab

SAS

AWS

Outils

SageMaker

EMR

Lambda

Kinesis

Glue

Description du poste

Amazon.com Services LLC is seeking a Senior Data Scientist III for the Community Intelligence Science & Engineering team in New York. You will design production ML forecasting systems and scale AI analytics while collaborating with cross‑functional teams across Last Mile, Middle Mile, and WW Ops to drive actionable community insights.

The role blends rigorous research with pragmatic deployment, mentoring junior scientists, publishing findings, and shaping senior leadership strategy through