Senior Data Scientist, Community Intelligence & Causal AI

Amazon; Nashville (TN); Presencial; USD 151 000 - 205 000; Tempo integral

Resumo da oferta

Amazon’s Community Intelligence Science & Engineering team seeks a Senior Data Scientist to design production ML forecasting systems, process multi-modal data, and translate insights into operational decisions. You will collaborate across Last Mile, Middle Mile, WW Ops Security, and other teams to maximize business impact.

The role demands rigorous statistical thinking, production experience, and ability to mentor others while delivering tangible results to leadership and customers.

Qualificações

• 5 years of data querying languages (SQL) or scripting (Python) or statistical/mathematical software (R, SAS, Matlab, etc.) 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.
• Experience with data scripting languages (SQL, Python, R or equivalent) or statistical software (R, SAS, Matlab).
• Experience managing data pipelines.
• Experience as a leader and mentor on a data science team.
• Experience documenting modeling for technical and business leaders.
• Experience using AI-assisted development tools in academic or professional settings.
• Experience contributing to publications at top-tier conferences or journals.

Responsabilidades

• 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.

Conhecimentos

SQL

Python

R/SAS/Matlab

Multinomial logistic regression

AWS

Cross-functional collaboration

Ferramentas

AWS Redshift

S3

EC2

Glue

Descrição da oferta de emprego

Amazon’s Community Intelligence Science & Engineering team seeks a Senior Data Scientist to design production ML forecasting systems, process multi-modal data, and translate insights into operational decisions. You will collaborate across Last Mile, Middle Mile, WW Ops Security, and other teams to maximize business impact.

The role demands rigorous statistical thinking, production experience, and ability to mentor others while delivering tangible results to leadership and customers.