Data Scientist II, POE

Amazon Inc.; Seattle (WA); On-site; USD 136,000 - 184,000; Full time

Job summary

Amazon.com Services LLC is seeking a Data Scientist II on the Perfect Order Experience (POE) team. You will build models that anticipate outcomes for customers, sellers, brands, and programs, working at the intersection of predictive modeling, economic reasoning, and business strategy.

Collaborate with business stakeholders to translate open-ended questions into well-defined analyses and deliver insights that influence growth, customer protection, and policy decisions.

Qualifications

• Master’s degree or higher 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 (SQL) or scripting languages (Python) or statistical software (R/SAS/MATLAB) experience.

Responsibilities

• Build models that anticipate customer, seller, brand, and program outcomes.
• Translate open-ended problems into well-defined scientific questions and develop predictive models.
• Partner with business stakeholders to deliver actionable insights that drive growth and risk decisions.

Skills

3+ years of data scientist experience

SQL, Python, or R/SAS/MATLAB

Education

Master's degree or higher in quantitative field

Job description

Job ID: 10588963 | Amazon.com Services LLC

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 .

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.