DESCRIPTION:

We are seeking a Data Scientist II with strong applied-science skills to join our Perfect Order Experience (POE) team. In this role you will build models that anticipate customer, seller, brand, and program outcomes, working at the intersection of predictive modeling, economic reasoning, and business strategy. You will partner closely with business stakeholders to translate complex, open-ended problems into well-defined scientific questions, and develop predictive models that turn those questions into actionable insight. Your work will directly inform how the business grows, protects customers and brands, and makes investment and policy decisions.

BASIC QUALIFICATIONS:

- Currently has, or is in the process of obtaining, a Master's degree or above in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field
- 3+ years of data scientist experience
- 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

PREFERRED QUALIFICATIONS:

- Experience in a ML or data scientist role with a large technology company
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)

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 - 136,000.00 - 184,000.00 USD annually