Applied Scientist II, Partner Science

Amazon Ads is building a >$100BN business, and our 3000+ advertising partners — agencies and tech providers — are strategic growth engines for that ambition. The Partner Science team drives the Advertising Basic qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - 3+ years of hands-on predictive modeling and large data analysis experience Preferred: - Experience in professional software development - Ph.D. in computer science, machine learning, engineering, or related fields, or experience in data science, machine learning or data mining - Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms - Experience completing complex tasks quickly with little to no guidance and react with appropriate urgency to situations that require a quick turnaround, or experience in sales/business development - • 5+ years experience building propensity models, recommendation systems, or advertiser/partner targeting models in an advertising or marketplace context - • Depth and hands on design experience on A/B test and causal and economic impact analysis. Hands-on experience with LLMs and Gen-AI applications (e.g., text summarization, retrieval-augmented generation, digital assistants) - • Experience with AWS data and ML infrastructure (e.g., SageMaker, S3, Redshift, Athena, Andes, Batch) or equivalent cloud-based ML platforms - • 3+ years experience working in advertising and retail ecosystem, and has done global level projects to understand customer behaviors - • Track record of mentoring peers or contributing to the scientific community through publications, internal conference or tech talks, or knowledge sharing Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 172,400.00 - 223,400.00 USD annually USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually