Amazon
Applied Scientist II, Partner Science
$143K–$223K
Seattle, WA +2 · Full-time · Posted Sep 22, 2026
- Location
- Seattle, WA
New York, NY
SEATTLE, WA - Experience
- 3+ years building business models and 3+ years of hands-on predictive modeling and large data analysis; PhD, or Master's degree plus 4+ years of relevant field experience. Preferred qualifications also include 5+ years building propensity, recommendation, or targeting models, and 3+ years in advertising and retail.
- Education
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
About the job
Develops and productionizes machine-learning, causal-inference, and econometric solutions to improve how advertisers find and succeed through Amazon Ads partners.
What you'll do
- Own science models end-to-end, from scoping and design through deployment, monitoring, and refinement.
- Analyze advertising data and run experiments to measure whether interventions and product features improve partner growth and ad spend.
- Communicate model findings to business stakeholders, support data and model quality, and mentor teammates.
What they ask for
- 3+ years building models for business applications.
- PhD, or a Master's degree and 4+ years of CS, CE, ML, or related field experience.
- Programming experience in Java, C++, Python, or a related language.
- 3+ years of hands-on predictive modeling and large data analysis experience; experience in at least one listed area such as algorithms and data structures, numerical optimization, or data mining.
Nice to have
- Professional software development experience; knowledge of data engineering pipelines, cloud solutions, ETL, databases, visualizations, or analytical platforms.
- Experience with propensity or recommendation models, A/B testing and causal analysis, LLMs/Gen-AI, AWS ML infrastructure, advertising or retail, or mentoring and scientific knowledge sharing.
Pay
172,400.00 - 223,400.00 USD annually (base salary); 142,800.00 - 193,200.00 USD annually (base salary)
Tools
Java, C++, Python, SageMaker, S3, Redshift, Athena, Andes
AI focus
Build and productionize predictive ML models, conduct causal inference and experiments, and apply text analytics, LLMs, and Gen-AI to advertising partner challenges.
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