Data Scientist, Ads Marketing Decision Science

Amazon Science; New York (NY); On-site; USD 153,000 - 208,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon Science is seeking a Data Scientist to design and deploy data-driven solutions for advertiser problems at scale. You will build predictive models, run experiments, and collaborate closely with engineers and product managers to deliver measurable impact.

You will apply ML, causal inference, and GenAI capabilities to create segmentation, propensity models, and recommendations that drive smarter advertising decisions across Amazon’s ecosystem.

Qualifications

• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical software experience.
• 2+ years of data scientist experience
• 3+ years of ML/statistical modeling data analysis tools and techniques
• Bachelor's degree
• Experience applying theoretical models in an applied environment

Responsibilities

• Define and execute data science solutions end-to-end, from problem framing through production deployment.
• Build ML models (classification, regression, clustering, ranking) for advertiser segmentation and recommendations.
• Apply causal inference and experimentation methods (A/B testing, diff-in-diff, propensity score matching).
• Analyze large-scale advertiser data to identify trends and opportunities.
• Collaborate with scientists, engineers, and PMs for rapid prototyping at scale.
• Establish data hygiene practices to ensure data quality for production ML/AI.

Skills

SQL

Python

R

SAS

Education

Bachelor's degree

Tools

Matlab

SAS

Perl

Python

Job description

Amazon Science is seeking a Data Scientist to design and deploy data-driven solutions for advertiser problems at scale. You will build predictive models, run experiments, and collaborate closely with engineers and product managers to deliver measurable impact.

You will apply ML, causal inference, and GenAI capabilities to create segmentation, propensity models, and recommendations that drive smarter advertising decisions across Amazon’s ecosystem.