About this opportunity
Amazon Inc. lists this Data Scientist II, Selection Growth Science opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Data Scientist II, Selection Growth Science
Join us in the evolution of Amazon’s Seller business! The Selling Partner Selection Succ organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources.
We are looking for a Data Scientist II to work on our seller prioritization to improve our SP growth strategy and drive new seller success. As a successful data scientist on our talented team of scientists and economists, you will leverage the latest technology to solve complex problems, and collaborate with engineering, research, and business teams to deliver seller‑centric experience on behalf of sour sellers. You need to have deep understanding on the business domain and have the ability to connect business with science. You are also strong in the latest technology and scientific foundation with the ability to collaborate with engineering to put models in production to answer specific business questions. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (
Key Job Responsibilities
Identify opportunities to improve SP growth and translate those opportunities into science problems via principled GenAI solutions.
Design and execute roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers.
Work with our engineering partners and draw upon your experience to meet latency and other system constraints.
Be responsible for communicating our science innovations to the broader internal & external scientific community.
Basic Qualifications
3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
2+ years of data scientist experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
Experience applying theoretical models in an applied environment
Preferred Qualifications
PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field
Experience in a ML or data scientist role with a large technology company
Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
Experience identifying opportunities to integrate AI solutions into products and services to drive business value
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Location: USA, WA, Seattle
The base salary range for this position is 136,000.00 - 184,000.00 USD annually. 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
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.