Senior Data Scientist, Pricing Science, Data, and Insights
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
In this role you will build and and delivers analytical solutions through agentic AI insights scientific studies analyses anomaly detection tools and technologies which will deliver the best prices and experiences to our customers. Data science and analytics is at the core of Amazons culture and your work will have a direct impact on decision making and strategy for the Pricing organization. This role requires a self-starting leader with high judgment that thrives in ambiguity and inspires their team. We are looking for an experienced data scientist with broad and deep scientific and analytical abilities that is customer and delivery-focused and a has a track record of earning your customers and peers trust.
To be successful in this role you will need a successful track record of working on diverse data science projects agentic AI solutions strong business acumen statistics experimentation and an entrepreneurial mindset.
Key job responsibilities
- Build Agentic AI solutions within the pricing analytics organization
- Mentor and grow other scientists and BIEs
- Develop build and deliver scientific and analytical data science solutions models and business strategy.
- Lead modeling and experimentation deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership as well as published literature.
- Leverage LLMs to deploy automate and generate Insights and drive growth discussions with Product teams.
- Produce written scientific recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
- Continuously invent simplify and automate your teams products tools services and methodologies. Improving back-end data sources and models for increased accuracy and simplicity.
- Recognize and adopt the best practices in data science reporting analyses data quality and modeling.
- 5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 4 years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- 2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 159200.00 - 215300.00 USD annually
Required Experience:
Senior IC
Key Skills
- Databases
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
About Company
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