Applied Scientist II - ML, Causal Inference & Ads Analytics

Amazon; Northern, New York (KY, NY); Hybrid; USD 143,000 - 223,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Ads is seeking an Applied Scientist to build ML/AI models and causal studies that improve how advertisers find and work with partners. You will design, implement, and productionize models, run scalable A/B tests, and collaborate with PMs, engineers, data teams, and sales/stakeholders to translate insights into business impact.

The role emphasizes hands-on modeling across predictive, causal, and text analytics domains, with AWS data/ML infra and Gen‑AI applications, in a dynamic

Qualifications

• 3+ years building models for business applications.
• PhD or Master’s with 4+ years in CS/ML or related field.
• Proficiency in Java, C++, Python or similar.
• Experience with algorithms, data mining, distributed computing.
• 3+ years hands-on predictive modeling & large data analysis.
• Professional software development experience.
• Knowledge of data engineering pipelines and cloud solutions.
• Ability to deliver complex tasks with minimal guidance.
• 5+ years building propensity/recommendation/targeting models.
• Experience with A/B tests, causal/economic impact analysis, and Gen‑AI.
• Experience with AWS data/ML infra, or equivalent platforms.
• Experience in advertising/retail ecosystems; global projects.
• Mentoring peers or contributing to the scientific community.

Responsibilities

• Design, prototype, validate, and productionize ML models across domains.
• Own production science models end-to-end from scoping to deployment.
• Design and run A/B experiments to validate interventions.
• Data analysis on large-scale advertising datasets; work with data infrastructure.
• Collaborate with MLOps and Data Engineering to deploy and curate datasets.
• Translate model outputs into business impact for cross-functional teams.
• Contribute to model quality monitoring and data quality checks.
• Mentor teammates and promote a culture of learning.

Skills

ML modeling

Causal inference

A/B testing

Python

Java

C++

Data analysis

Cloud platforms

LLMs/Gen-AI

Propensity models

Text analytics

Education

PhD or Master’s + 4+ years in CS/ML

Tools

SageMaker

S3

Redshift

Athena

Andes

Job description

Amazon Ads is seeking an Applied Scientist to build ML/AI models and causal studies that improve how advertisers find and work with partners. You will design, implement, and productionize models, run scalable A/B tests, and collaborate with PMs, engineers, data teams, and sales/stakeholders to translate insights into business impact.

The role emphasizes hands-on modeling across predictive, causal, and text analytics domains, with AWS data/ML infra and Gen‑AI applications, in a dynamic