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About the Role
Build models that anticipate customer, seller, brand, and program outcomes, working at the intersection of predictive modeling, economic reasoning, and business strategy. 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.
Responsibilities
- Build models that anticipate customer, seller, brand, and program outcomes.
- Work at the intersection of predictive modeling, economic reasoning, and business strategy.
- Partner closely with business stakeholders to translate complex, open-ended problems into well-defined scientific questions.
- Develop predictive models that turn questions into actionable insight.
- Inform business growth, customer and brand protection, and investment and policy decisions.
Requirements
- Currently have, or are 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.
- 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.
Skills
- Data querying languages (e.g. SQL)
- Scripting languages (e.g. Python)
- Statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
- Machine Learning (ML)
- Quantitative analysis
- Business problem solving
- Data-driven decision making
- Complex concept communication (written and verbal)
Location
- USA, WA, Seattle
Work Type
- Full-time
Experience Level
- Data Scientist II
- 3+ years
Education Level
- Master's degree or above in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field
- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
Salary/Compensations
- 136,000.00 - 184,000.00 USD annually
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- 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
- Parental leave
About the Company
- Our inclusive culture empowers Amazonians to deliver the best results for our customers.
Equal Opportunity
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
- 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.