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About the Role

This role offers a unique opportunity to shape how Amazon builds sustainable relationships with the communities it serves. You will work at the forefront of applied AI and causal inference, building systems that influence decisions affecting thousands of communities daily.

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.

Requirements

5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. 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 (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
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 peer-reviewed conferences or journals

Skills

Computational social science
Artificial intelligence
Operational excellence
Applied AI
Causal inference
Machine learning forecasting
Multi-modal data sources
AI-powered analytics platforms
Unstructured data processing
Social media analysis
Traditional media analysis
NLP
GenAI
Event detection
Sentiment analysis
Cross-platform clustering
Multilingual insight synthesis
AWS services
SageMaker
EMR
Lambda
Kinesis
Glue
Knowledge graphs
LLMs
Document understanding
SQL
Python
R
SAS
Matlab

Location

USA, NY, New York
USA, TN, Nashville
USA, VA, Arlington
USA, WA, Bellevue

Work Type

Full-time

Experience Level

Senior

Salary/Compensations

175,100.00 - 236,900.00 USD annually
151,200.00 - 204,600.00 USD annually
159,200.00 - 215,300.00 USD annually

Benefits

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan
Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave

About the Company

Amazon Community Operations (CommOps) works to anticipate our communities’ needs and build positive net impact anywhere we operate. From Operational Excellence to Community Outreach, Community Operations is defining what it means to be a positive presence in the community. This is a fast-paced, start-up environment where creative problem solving, operational excellence, and building relationships are the core of our day-to-day work.

Equal Opportunity

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations [https://amazon.jobs/content/en/how-we-hire/accommodations] for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.