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About the Role
As a Data Scientist II on the Devices forecasting team, you will build econometric and machine learning models to project long-term demand, assess new product incrementality, and quantify feature willingness to pay. Your analysis will directly shape portfolio decisions, helping product managers decide what to build next. This team is investing in AI to accelerate how science informs business strategy.
Responsibilities
- Build and validate econometric and machine learning models that generate long-term demand forecasts for Amazon Devices, selecting the right methodology based on data characteristics and business context.
- Assess the incrementality of new products and quantify willingness to pay for product features, translating model outputs into clear narratives that help product managers adjust their portfolio strategy.
- Collaborate with product managers, engineers, and business stakeholders to scope analytical projects, define metrics, and identify the data requirements needed to answer ambiguous forecasting questions.
- Communicate findings to technical and non-technical audiences through clear documentation, effective visualizations, and well-structured presentations that drive informed decisions.
- Mentor less experienced data scientists through code reviews, knowledge sharing, and active participation in scientific discussions and team planning.
Requirements
- 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
- Bachelor's degree
- Experience applying theoretical models in an applied environment
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Skills
- SQL
- Python
- R
- SAS
- Matlab
- Econometric modeling
- Machine learning modeling
- Data querying
- Scripting
- Statistical analysis
- ML modeling
- Data analysis
Location
- USA, CA, Sunnyvale
- USA, WA, Seattle
Work Type
- Full-time
Experience Level
- Data Scientist II
- 3+ years
- 2+ years
Education Level
- Bachelor's degree
Salary/Compensations
- 157,300.00 - 212,800.00 USD annually
- 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
- 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.
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.
- Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.