Full job description DESCRIPTION Are you looking for a role where you have the opportunity to shape Amazon’s Pricing and using data science, analytics, and insights? If so, our role in Amazon's Pricing organization is for you. Amazon's Pricing Analytics organization is seeking a highly analytical Senior Data Scientist. In this role, you will build and and delivers analytical solutions through agentic AI, insights, scientific studies, analyses, anomaly detection tools and technologies, which will deliver the best prices and experiences to our customers. Data science and analytics is at the core of Amazon’s culture, and your work will have a direct impact on decision making and strategy for the Pricing organization. This role requires a self-starting leader with high judgment that thrives in ambiguity and inspires their team. We are looking for an experienced data scientist with broad and deep scientific and analytical abilities, that is customer and delivery-focused, and a has a track record of earning your customers and peer’s trust. To be successful in this role, you will need a successful track record of working on diverse data science projects, agentic AI solutions, strong business acumen, statistics, experimentation, and an entrepreneurial mindset. Key job responsibilities Build Agentic AI solutions within the pricing analytics organization Mentor and grow other scientists and BIEs Develop, build, and deliver scientific and analytical data science solutions, models, and business strategy. Lead modeling and experimentation, deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership as well as published literature. Leverage LLMs to deploy, automate, and generate Insights and drive growth discussions with Product teams. Produce written scientific recommendations and insights for key stakeholders that will help shape effective metric development and reporting. Continuously invent, simplify, and automate your team’s products, tools, services, and methodologies. Improving back-end data sources and models for increased accuracy and simplicity. Recognize and adopt the best practices in data science, reporting, analyses, data quality, and modeling. BASIC QUALIFICATIONS 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 PREFERRED QUALIFICATIONS 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience Experience managing data pipelines Experience as a leader and mentor on a data science team 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, WA, Seattle - 159,200.00 - 215,300.00 USD annually